explore_dataVariants
FD, NOR, FB
07-April-2021
today <- Sys.Date() # today's dateMise à jour du 2021-04-07.
Source des données : https://www.data.gouv.fr/fr/datasets/donnees-de-laboratoires-pour-le-depistage-indicateurs-sur-les-variants/
QUESTIONS:
- Ajouter données Flash ? Pour avoir des points plus anciens
Légende
library("RColorBrewer")
brw <- brewer.pal(12, "Set3")
brw[2] <- brw[12] # Darker yellow
brw[10] <- brw[11] # Lighter shade
colsAge <- c("#000000FF", brw[1:10])
names(colsAge) <- c("0", "9", "19", "29", "39", "49", "59", "69", "79", "89", "90")
pchAge <- c(16, 0:9)
names(pchAge) <- names(colsAge)
cexAge <- c(1.2, rep(1, 10))
names(cexAge) <- names(colsAge)
ages <- c("tous", "0-9", "10-19", "20-29", "30-39", "40-49", "50-59", "60-69", "70-79", "80-89", "90+")par(mfrow = c(1, 1))
plot(0:1, 0:1, type = "n", axes = FALSE, xlab = "", ylab = "")
legend(x = 0.5, y = 1, legend = ages, pch = pchAge, col = colsAge)
Données France
Load data
# Données France
URL <- "https://www.data.gouv.fr/fr/datasets/r/c43d7f3f-c9f5-436b-9b26-728f80e0fd52"
dataFile <- paste0("data/France_", today, ".csv") # name file with today's date
download.file(URL, dataFile) # download file from repo
dat.France <- read.csv(dataFile, sep = ";", stringsAsFactors = FALSE)
# Format date
dat.France$date1 <- as.Date(substring(dat.France$semaine, 1, 10))
dat.France$date2 <- as.Date(substring(dat.France$semaine, 12, 21))
# Rewrite time as days since beginning of the data
dat.France$time <- dat.France$date2 - min(dat.France$date2)
# Compute data on total tests
dat.France$Nb_tests_POS <- dat.France$Nb_tests_PCR_TA_crible / (dat.France$Prc_tests_PCR_TA_crible / 100)
# Dictionnary to reformat age class
dic.age <- (0:9)*10 + 4.5 # Median of age classes
names(dic.age) <- as.character(c(0 + (0:8)*10 + 9, 90))Compare the data to another source – number of positive tests
# Compare to another source
URL <- "https://www.data.gouv.fr/fr/datasets/r/dd0de5d9-b5a5-4503-930a-7b08dc0adc7c"
dataFile <- paste0("data/tests-France_", today, ".csv") # name file with today's date
download.file(URL, dataFile) # download file from repo
dat.tests <- read.csv(dataFile, sep = ";", stringsAsFactors = FALSE)
URL <- "https://www.data.gouv.fr/fr/datasets/r/c1167c4e-8c89-40f2-adb3-1954f8fedfa7"
dataFile <- paste0("data/tests7j-France_", today, ".csv") # name file with today's date
download.file(URL, dataFile) # download file from repo
dat.tests7j <- read.csv(dataFile, sep = ";", stringsAsFactors = FALSE)
dat.tests7j$date1 <- as.Date(substring(dat.tests7j$semaine_glissante, 1, 10))
dat.tests7j$date2 <- as.Date(substring(dat.tests7j$semaine_glissante, 12, 21))
# P nombre de tests positifs
# T nombre de tests total
dat.tests$date <- as.Date(dat.tests$jour)
dateRange <- range(c(range(dat.France$date1), range(dat.France$date2)))
subdat.tests <- dat.tests[dat.tests$date >= dateRange[1] & dat.tests$date <= dateRange[2],]
# Function to compute a sliding window
sliding.window <- function(v, winwdt = 7, pos = 4, na.rm = TRUE){
# v vector to be averaged/summed
# winwdt width of the window
# pos position of the focal day in the window
# FUN function to apply
n <- length(v)
# Initialize output vector
out <- 0 * v + (-1)
out[1:(pos-1)] <- NA
out[(n + 1 - winwdt + pos) : n] <- NA
for(i in pos : (n - winwdt + pos)){
out[i] <- mean(v[(i - pos + 1):(i + winwdt - pos)], na.rm = na.rm)
}
return(out[1:n])
}
subdat.tests.0 <- subdat.tests[subdat.tests$cl_age90 == 0, ]
dat.France.0 <- dat.France[dat.France$cl_age90 == 0, ]
subdat.tests.0$P.7.1 <- 7 * sliding.window(subdat.tests.0$P, pos = 1)
subdat.tests.0$P.7.4 <- 7 * sliding.window(subdat.tests.0$P, pos = 4)
subdat.tests.0$P.7.7 <- 7 * sliding.window(subdat.tests.0$P, pos = 7)
subdat.tests.0$P.8.8 <- 8 * sliding.window(subdat.tests.0$P, pos = 8, winwdt = 8)
plot(dat.France.0$date2, dat.France.0$Nb_tests_POS, ylim = c(1*10^5, 2*10^5), pch = 16,
xlab = "date", ylab = "nombre de tests")
points(subdat.tests.0$date, subdat.tests.0$P.7.1, ylim = c(0, 5*10^5), col = "red")
points(subdat.tests.0$date, subdat.tests.0$P.7.4, ylim = c(0, 5*10^5), col = "green")
points(subdat.tests.0$date, subdat.tests.0$P.7.7, ylim = c(0, 5*10^5), col = "blue")
points(subdat.tests.0$date, subdat.tests.0$P.8.8, ylim = c(0, 5*10^5), col = "purple")
points(dat.tests7j$date2, dat.tests7j$P, pch = 2)
legend(x = as.Date("2021-02-18"), y = 200000, col = c("black", "red", "green", "blue", "purple", "black"), legend = c("sidep tests", "w7, c1", "w7, c4", "w7, c7", "w8, c8", "sidep 7j-fin"), pch = c(16, rep(1, 4), 2))
Legend notation:
w: width of the window, c: position of the index day.
So the sliding window is on the 7 last days.
The difference (about 15% more positives in the variants dataset) may be due to the variant data being in terms of tests, and the other in terms of people, with duplicates removed.
#plot(dat.France.0$date2, dat.France.0$Nb_tests, ylim = c(1*10^5, 2*10^5), pch = 16,
# xlab = "date", ylab = "comparaison nombre de tests")
#points(subdat.tests.0$date, subdat.tests.0$P.7.7, ylim = c(0, 5*10^5), col = "blue")
#points(subdat.tests.0$date, 1.17*subdat.tests.0$P.7.7, ylim = c(0, 5*10^5), col = "orange")Format the data further (age class data)
# Data per age class
dat.France.ages <- dat.France[dat.France$cl_age90 != 0,]
# Add new age class code -- median of the age class
dat.France.ages$ageClass <- dic.age[as.character(dat.France.ages$cl_age90)]
# Standardize age class values
dat.France.ages$stdage <- (dat.France.ages$ageClass - mean(dat.France.ages$ageClass))/dat.France.ages$ageClassEffort
par(las = 1)
with(dat.France[dat.France$cl_age90 == "0",], {
plot(date2, Prc_tests_PCR_TA_crible, ylim = c(0, 100), type = "l", xlab = "date", ylab = "Proportion tests criblés")})
V1
Compute r
names(dat.France)## [1] "fra" "semaine"
## [3] "cl_age90" "Nb_tests_PCR_TA_crible"
## [5] "Prc_tests_PCR_TA_crible" "Nb_susp_501Y_V1"
## [7] "Prc_susp_501Y_V1" "Nb_susp_501Y_V2_3"
## [9] "Prc_susp_501Y_V2_3" "Nb_susp_IND"
## [11] "Prc_susp_IND" "Nb_susp_ABS"
## [13] "Prc_susp_ABS" "date1"
## [15] "date2" "time"
## [17] "Nb_tests_POS"dat.France$rABS <- NA
dat.France$rV1 <- NA
dat.France$rV23 <- NA
for(iage in unique(dat.France$cl_age90)){
ilines <- which(dat.France$cl_age90 == iage)
sub <- dat.France[ilines, ]
dat.France[ilines, "rABS"] <- c(diff(sub$Nb_susp_ABS), NA)
dat.France[ilines, "rV1"] <- c(diff(sub$Nb_susp_501Y_V1), NA)
dat.France[ilines, "rV23"] <- c(diff(sub$Nb_susp_501Y_V2_3), NA)
}Plot
# All ages, time
par(las = 1)
plot(dat.France$date2, dat.France$Prc_susp_501Y_V1, ylim = c(0, 100),
col = colsAge[as.character(dat.France$cl_age90)],
pch = pchAge[as.character(dat.France$cl_age90)],
cex = cexAge[as.character(dat.France$cl_age90)],
xlab = "date", ylab = "Proportion V1", axes = FALSE)
axis(1, pos = 0, at = as.Date(unique(dat.France$date2)), labels = format(unique(dat.France$date2), format = "%b %d"))
axis(2)
# Plot dp/(p(1-p)) for each age class
ageClasses <- sort(unique(dat.France$cl_age90))
nAge <- length(ageClasses)
dat.France$s <- NA
dat.France$diffTot <- NA
for(iage in unique(dat.France$cl_age90)){
ilines <- which(dat.France$cl_age90 == iage)
sub <- dat.France[ilines, ]
V1 <- sub$Prc_susp_501Y_V1/100
t <- sub$date2
s <- diff(V1) / (V1[-length(V1)]*(1-V1[-length(V1)]))
V2 <- log(V1/(1-V1)) # Logit
s2 <- diff(V2)
plot(t[-length(V1)], s, ylim = c(-0.1, 0.1), main = iage)
lines(t[-length(V2)], s2, col = 2)
print(c(iage, mean(s)))
dat.France[ilines, "s"] <- c(s2, NA)
dat.France[ilines, "diffTot"] <- c(diff(sub$Nb_tests_POS), NA)
}Test
Binomial model
# Create new colums with information on number of specific PCR tests
# PCR with V1 result
dat.France.ages$V1 <- dat.France.ages$Nb_susp_501Y_V1
# All other PCRs (considering NAs are non-V1)
dat.France.ages$notV1 <- dat.France.ages$Nb_tests_PCR_TA_crible - dat.France.ages$Nb_susp_501Y_V1
# All other PCRs with a result (removing NAs)
dat.France.ages$notV1.narm <- dat.France.ages$Nb_susp_501Y_V2_3 + dat.France.ages$Nb_susp_ABS
# Check that columns correctly sum
all(dat.France.ages$Nb_susp_501Y_V2_3 + dat.France.ages$Nb_susp_ABS + dat.France.ages$Nb_susp_501Y_V1 + dat.France.ages$Nb_susp_IND - dat.France.ages$Nb_tests_PCR_TA_crible == 0)## [1] TRUEGLM, assume that all indeterminate PCRs are non-V1
- Age as factor, compare models without and with interaction between age and time
# GLM
# Assuming that all IND (indetermine) are non-V1
mdl0 <- glm(cbind(V1, notV1) ~ time * factor(ageClass), data = dat.France.ages, family = "binomial")
summary(mdl0)##
## Call:
## glm(formula = cbind(V1, notV1) ~ time * factor(ageClass), family = "binomial",
## data = dat.France.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -10.4653 -2.6809 -0.0694 3.0119 8.4004
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.2200000 0.0088597 24.83 <2e-16 ***
## time 0.0263647 0.0003135 84.11 <2e-16 ***
## factor(ageClass)14.5 -0.1588149 0.0102595 -15.48 <2e-16 ***
## factor(ageClass)24.5 -0.1993194 0.0101242 -19.69 <2e-16 ***
## factor(ageClass)34.5 -0.1676254 0.0101202 -16.56 <2e-16 ***
## factor(ageClass)44.5 -0.1758088 0.0101086 -17.39 <2e-16 ***
## factor(ageClass)54.5 -0.2839147 0.0102003 -27.83 <2e-16 ***
## factor(ageClass)64.5 -0.4162414 0.0106803 -38.97 <2e-16 ***
## factor(ageClass)74.5 -0.5983050 0.0116263 -51.46 <2e-16 ***
## factor(ageClass)84.5 -0.9322256 0.0126472 -73.71 <2e-16 ***
## factor(ageClass)94.5 -1.0953217 0.0158318 -69.19 <2e-16 ***
## time:factor(ageClass)14.5 0.0106090 0.0003685 28.79 <2e-16 ***
## time:factor(ageClass)24.5 0.0106959 0.0003672 29.13 <2e-16 ***
## time:factor(ageClass)34.5 0.0104690 0.0003662 28.59 <2e-16 ***
## time:factor(ageClass)44.5 0.0122479 0.0003664 33.43 <2e-16 ***
## time:factor(ageClass)54.5 0.0136830 0.0003713 36.85 <2e-16 ***
## time:factor(ageClass)64.5 0.0154175 0.0003921 39.32 <2e-16 ***
## time:factor(ageClass)74.5 0.0178462 0.0004346 41.07 <2e-16 ***
## time:factor(ageClass)84.5 0.0226216 0.0004832 46.82 <2e-16 ***
## time:factor(ageClass)94.5 0.0225081 0.0006259 35.96 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 333497.1 on 459 degrees of freedom
## Residual deviance: 6820.7 on 440 degrees of freedom
## AIC: 11201
##
## Number of Fisher Scoring iterations: 3# Without interaction
mdl1 <- glm(cbind(V1, notV1) ~ time + factor(ageClass), data = dat.France.ages, family = "binomial")
summary(mdl1)##
## Call:
## glm(formula = cbind(V1, notV1) ~ time + factor(ageClass), family = "binomial",
## data = dat.France.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -16.4777 -2.8340 0.9304 4.1144 8.5331
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -8.667e-02 4.435e-03 -19.542 <2e-16 ***
## time 3.869e-02 7.341e-05 527.052 <2e-16 ***
## factor(ageClass)14.5 1.078e-01 4.769e-03 22.612 <2e-16 ***
## factor(ageClass)24.5 7.120e-02 4.735e-03 15.035 <2e-16 ***
## factor(ageClass)34.5 9.762e-02 4.739e-03 20.598 <2e-16 ***
## factor(ageClass)44.5 1.291e-01 4.743e-03 27.228 <2e-16 ***
## factor(ageClass)54.5 5.251e-02 4.798e-03 10.944 <2e-16 ***
## factor(ageClass)64.5 -4.171e-02 5.043e-03 -8.271 <2e-16 ***
## factor(ageClass)74.5 -1.722e-01 5.566e-03 -30.940 <2e-16 ***
## factor(ageClass)84.5 -4.089e-01 6.174e-03 -66.231 <2e-16 ***
## factor(ageClass)94.5 -5.810e-01 8.107e-03 -71.665 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 333497 on 459 degrees of freedom
## Residual deviance: 10323 on 449 degrees of freedom
## AIC: 14685
##
## Number of Fisher Scoring iterations: 3## Likelihood ratio test
anova(mdl1, mdl0, test="Chisq")## Analysis of Deviance Table
##
## Model 1: cbind(V1, notV1) ~ time + factor(ageClass)
## Model 2: cbind(V1, notV1) ~ time * factor(ageClass)
## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
## 1 449 10323.0
## 2 440 6820.7 9 3502.2 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1- Age as quantitative
# Test date effect
mdl2 <- glm(cbind(V1, notV1) ~ time * ageClass, data = dat.France.ages, family = "binomial")
summary(mdl2)##
## Call:
## glm(formula = cbind(V1, notV1) ~ time * ageClass, family = "binomial",
## data = dat.France.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -17.321 -5.720 -1.669 3.580 13.492
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 3.155e-01 4.071e-03 77.51 <2e-16 ***
## time 3.028e-02 1.551e-04 195.22 <2e-16 ***
## ageClass -9.021e-03 8.483e-05 -106.33 <2e-16 ***
## time:ageClass 2.035e-04 3.318e-06 61.33 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 333497 on 459 degrees of freedom
## Residual deviance: 18520 on 456 degrees of freedom
## AIC: 22868
##
## Number of Fisher Scoring iterations: 3## Likelihood ratio test
anova(mdl2, mdl0, test="Chisq")## Analysis of Deviance Table
##
## Model 1: cbind(V1, notV1) ~ time * ageClass
## Model 2: cbind(V1, notV1) ~ time * factor(ageClass)
## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
## 1 456 18520.2
## 2 440 6820.7 16 11699 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1GLM, ignore indeterminate PCRs
- Age as factor, compare models without and with interaction between age and time
# GLM
# Assuming that all IND (indetermine) are non-V1
mdl0.narm <- glm(cbind(V1, notV1.narm) ~ time * factor(ageClass), data = dat.France.ages, family = "binomial")
summary(mdl0.narm)##
## Call:
## glm(formula = cbind(V1, notV1.narm) ~ time * factor(ageClass),
## family = "binomial", data = dat.France.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -11.9049 -2.6373 0.4646 2.5244 7.9544
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.3643279 0.0100266 36.34 <2e-16 ***
## time 0.0432724 0.0003846 112.50 <2e-16 ***
## factor(ageClass)14.5 -0.1918223 0.0115121 -16.66 <2e-16 ***
## factor(ageClass)24.5 -0.1995526 0.0113764 -17.54 <2e-16 ***
## factor(ageClass)34.5 -0.1763056 0.0113653 -15.51 <2e-16 ***
## factor(ageClass)44.5 -0.1923099 0.0113426 -16.95 <2e-16 ***
## factor(ageClass)54.5 -0.3025404 0.0114264 -26.48 <2e-16 ***
## factor(ageClass)64.5 -0.4422492 0.0119113 -37.13 <2e-16 ***
## factor(ageClass)74.5 -0.6129192 0.0129041 -47.50 <2e-16 ***
## factor(ageClass)84.5 -0.9582383 0.0139268 -68.81 <2e-16 ***
## factor(ageClass)94.5 -1.1423585 0.0171984 -66.42 <2e-16 ***
## time:factor(ageClass)14.5 0.0060827 0.0004464 13.62 <2e-16 ***
## time:factor(ageClass)24.5 0.0050004 0.0004450 11.24 <2e-16 ***
## time:factor(ageClass)34.5 0.0047699 0.0004436 10.75 <2e-16 ***
## time:factor(ageClass)44.5 0.0062995 0.0004434 14.21 <2e-16 ***
## time:factor(ageClass)54.5 0.0070432 0.0004479 15.73 <2e-16 ***
## time:factor(ageClass)64.5 0.0082335 0.0004693 17.55 <2e-16 ***
## time:factor(ageClass)74.5 0.0107958 0.0005166 20.90 <2e-16 ***
## time:factor(ageClass)84.5 0.0163828 0.0005701 28.74 <2e-16 ***
## time:factor(ageClass)94.5 0.0181733 0.0007332 24.79 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 412398.9 on 459 degrees of freedom
## Residual deviance: 6019.8 on 440 degrees of freedom
## AIC: 10269
##
## Number of Fisher Scoring iterations: 3# Without interaction
mdl1.narm <- glm(cbind(V1, notV1.narm) ~ time + factor(ageClass), data = dat.France.ages, family = "binomial")
summary(mdl1.narm)##
## Call:
## glm(formula = cbind(V1, notV1.narm) ~ time + factor(ageClass),
## family = "binomial", data = dat.France.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -13.6290 -2.4782 0.6924 3.1414 7.7987
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 2.123e-01 5.338e-03 39.771 <2e-16 ***
## time 5.006e-02 8.544e-05 585.935 <2e-16 ***
## factor(ageClass)14.5 -5.496e-02 5.783e-03 -9.504 <2e-16 ***
## factor(ageClass)24.5 -8.407e-02 5.739e-03 -14.647 <2e-16 ***
## factor(ageClass)34.5 -6.571e-02 5.742e-03 -11.445 <2e-16 ***
## factor(ageClass)44.5 -5.032e-02 5.739e-03 -8.768 <2e-16 ***
## factor(ageClass)54.5 -1.455e-01 5.785e-03 -25.143 <2e-16 ***
## factor(ageClass)64.5 -2.609e-01 6.031e-03 -43.254 <2e-16 ***
## factor(ageClass)74.5 -3.806e-01 6.587e-03 -57.770 <2e-16 ***
## factor(ageClass)84.5 -6.195e-01 7.203e-03 -86.009 <2e-16 ***
## factor(ageClass)94.5 -7.783e-01 9.241e-03 -84.213 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 412398.9 on 459 degrees of freedom
## Residual deviance: 7533.9 on 449 degrees of freedom
## AIC: 11765
##
## Number of Fisher Scoring iterations: 3## Likelihood ratio test
anova(mdl1.narm, mdl0.narm, test="Chisq")## Analysis of Deviance Table
##
## Model 1: cbind(V1, notV1.narm) ~ time + factor(ageClass)
## Model 2: cbind(V1, notV1.narm) ~ time * factor(ageClass)
## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
## 1 449 7533.9
## 2 440 6019.8 9 1514 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1- Age as quantitative
# Test date effect
mdl2.narm <- glm(cbind(V1, notV1.narm) ~ time * ageClass, data = dat.France.ages, family = "binomial")
summary(mdl2.narm)##
## Call:
## glm(formula = cbind(V1, notV1.narm) ~ time * ageClass, family = "binomial",
## data = dat.France.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -14.3373 -4.4092 -0.9571 2.8900 11.9127
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 4.483e-01 4.477e-03 100.12 <2e-16 ***
## time 4.393e-02 1.829e-04 240.20 <2e-16 ***
## ageClass -9.150e-03 9.258e-05 -98.84 <2e-16 ***
## time:ageClass 1.474e-04 3.871e-06 38.07 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 412399 on 459 degrees of freedom
## Residual deviance: 13064 on 456 degrees of freedom
## AIC: 17280
##
## Number of Fisher Scoring iterations: 3## Likelihood ratio test
anova(mdl2.narm, mdl0.narm, test="Chisq")## Analysis of Deviance Table
##
## Model 1: cbind(V1, notV1.narm) ~ time * ageClass
## Model 2: cbind(V1, notV1.narm) ~ time * factor(ageClass)
## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
## 1 456 13063.6
## 2 440 6019.8 16 7043.7 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1plot(dat.France$diffTot, dat.France$s,
xlab = "Increase in total number of positive tests over 1 day",
ylab = "s")
all(is.na(dat.France$diffTot) == is.na(dat.France$s))
lineRemove <- is.na(dat.France$diffTot)
mdl <- lm(dat.France$s[!lineRemove] ~ dat.France$diffTot[!lineRemove])
summary(mdl)
cor.test(dat.France$diffTot[!lineRemove], dat.France$s[!lineRemove])No effet of epidemic growth on selective advantage of the variant
V2/V3
Plot
# All ages, time
par(las = 1)
plot(dat.France$date2, dat.France$Prc_susp_501Y_V2_3, ylim = c(0, 100),
col = colsAge[as.character(dat.France$cl_age90)],
pch = pchAge[as.character(dat.France$cl_age90)],
cex = cexAge[as.character(dat.France$cl_age90)],
xlab = "date", ylab = "Proportion V2/V3", axes = FALSE)
axis(1, pos = 0, at = as.Date(unique(dat.France$date2)), labels = format(unique(dat.France$date2), format = "%b %d"))
axis(2)
Test
Binomial
# Create new colums with information on number of specific PCR tests
# PCR with V2/V3 result
dat.France.ages$V23 <- dat.France.ages$Nb_susp_501Y_V2_3
# All other PCRs (considering NAs are non-V23)
dat.France.ages$notV23 <- dat.France.ages$Nb_tests_PCR_TA_crible - dat.France.ages$Nb_susp_501Y_V2_3
# All other PCRs with a result (removing NAs)
dat.France.ages$notV23.narm <- dat.France.ages$Nb_susp_501Y_V1 + dat.France.ages$Nb_susp_ABSGLM, assume that all indeterminate PCRs are non-V1
- Age as factor, compare models without and with interaction between age and time
# GLM
# Assuming that all IND (indetermine) are non-V23
mdl0 <- glm(cbind(V23, notV23) ~ time * factor(ageClass), data = dat.France.ages, family = "binomial")
summary(mdl0)##
## Call:
## glm(formula = cbind(V23, notV23) ~ time * factor(ageClass), family = "binomial",
## data = dat.France.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -5.9729 -1.0374 -0.0582 1.1069 4.3472
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -2.9621865 0.0202511 -146.273 < 2e-16 ***
## time -0.0064084 0.0007007 -9.146 < 2e-16 ***
## factor(ageClass)14.5 0.1868161 0.0230808 8.094 5.77e-16 ***
## factor(ageClass)24.5 0.1466524 0.0227707 6.440 1.19e-10 ***
## factor(ageClass)34.5 0.0846586 0.0228784 3.700 0.000215 ***
## factor(ageClass)44.5 0.0342692 0.0229426 1.494 0.135257
## factor(ageClass)54.5 0.0758943 0.0230673 3.290 0.001001 **
## factor(ageClass)64.5 0.1503748 0.0238903 6.294 3.09e-10 ***
## factor(ageClass)74.5 -0.2223583 0.0273057 -8.143 3.85e-16 ***
## factor(ageClass)84.5 -0.3662788 0.0305376 -11.994 < 2e-16 ***
## factor(ageClass)94.5 -0.3368902 0.0382464 -8.808 < 2e-16 ***
## time:factor(ageClass)14.5 -0.0045890 0.0008076 -5.683 1.33e-08 ***
## time:factor(ageClass)24.5 0.0010447 0.0007989 1.308 0.190962
## time:factor(ageClass)34.5 0.0014471 0.0008009 1.807 0.070779 .
## time:factor(ageClass)44.5 0.0018237 0.0008028 2.272 0.023110 *
## time:factor(ageClass)54.5 0.0022656 0.0008096 2.798 0.005135 **
## time:factor(ageClass)64.5 0.0023617 0.0008432 2.801 0.005095 **
## time:factor(ageClass)74.5 0.0094767 0.0009677 9.793 < 2e-16 ***
## time:factor(ageClass)84.5 0.0129193 0.0010994 11.751 < 2e-16 ***
## time:factor(ageClass)94.5 0.0130248 0.0014253 9.138 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 4084.6 on 459 degrees of freedom
## Residual deviance: 1290.7 on 440 degrees of freedom
## AIC: 4956.9
##
## Number of Fisher Scoring iterations: 3# Without interaction
mdl1 <- glm(cbind(V23, notV23) ~ time + factor(ageClass), data = dat.France.ages, family = "binomial")
summary(mdl1)##
## Call:
## glm(formula = cbind(V23, notV23) ~ time + factor(ageClass), family = "binomial",
## data = dat.France.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -6.2858 -1.2793 0.0697 1.4959 6.5540
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -3.0062181 0.0097876 -307.146 < 2e-16 ***
## time -0.0047189 0.0001525 -30.940 < 2e-16 ***
## factor(ageClass)14.5 0.0754919 0.0103718 7.279 3.37e-13 ***
## factor(ageClass)24.5 0.1752811 0.0102298 17.134 < 2e-16 ***
## factor(ageClass)34.5 0.1228399 0.0102782 11.952 < 2e-16 ***
## factor(ageClass)44.5 0.0815447 0.0103162 7.905 2.69e-15 ***
## factor(ageClass)54.5 0.1336415 0.0104107 12.837 < 2e-16 ***
## factor(ageClass)64.5 0.2102723 0.0108420 19.394 < 2e-16 ***
## factor(ageClass)74.5 0.0046753 0.0125115 0.374 0.70864
## factor(ageClass)84.5 -0.0696469 0.0144553 -4.818 1.45e-06 ***
## factor(ageClass)94.5 -0.0521814 0.0193090 -2.702 0.00688 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 4084.6 on 459 degrees of freedom
## Residual deviance: 1943.3 on 449 degrees of freedom
## AIC: 5591.6
##
## Number of Fisher Scoring iterations: 4## Likelihood ratio test
anova(mdl1, mdl0, test="Chisq")## Analysis of Deviance Table
##
## Model 1: cbind(V23, notV23) ~ time + factor(ageClass)
## Model 2: cbind(V23, notV23) ~ time * factor(ageClass)
## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
## 1 449 1943.3
## 2 440 1290.7 9 652.65 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1- Age as quantitative
# Test date effect
mdl2 <- glm(cbind(V23, notV23) ~ time * ageClass, data = dat.France.ages, family = "binomial")
summary(mdl2)##
## Call:
## glm(formula = cbind(V23, notV23) ~ time * ageClass, family = "binomial",
## data = dat.France.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -5.5025 -1.9828 -0.5202 1.2846 5.8833
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -2.725e+00 8.804e-03 -309.56 <2e-16 ***
## time -1.142e-02 3.200e-04 -35.70 <2e-16 ***
## ageClass -4.223e-03 1.885e-04 -22.40 <2e-16 ***
## time:ageClass 1.641e-04 6.910e-06 23.75 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 4084.6 on 459 degrees of freedom
## Residual deviance: 2558.0 on 456 degrees of freedom
## AIC: 6192.2
##
## Number of Fisher Scoring iterations: 4## Likelihood ratio test
anova(mdl2, mdl0, test="Chisq")## Analysis of Deviance Table
##
## Model 1: cbind(V23, notV23) ~ time * ageClass
## Model 2: cbind(V23, notV23) ~ time * factor(ageClass)
## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
## 1 456 2558.0
## 2 440 1290.7 16 1267.3 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1GLM, ignore indeterminate PCRs
- Age as factor, compare models without and with interaction between age and time
# GLM
# Assuming that all IND (indetermine) are non-V23
mdl0.narm <- glm(cbind(V23, notV23.narm) ~ time * factor(ageClass), data = dat.France.ages, family = "binomial")
summary(mdl0.narm)##
## Call:
## glm(formula = cbind(V23, notV23.narm) ~ time * factor(ageClass),
## family = "binomial", data = dat.France.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -5.9583 -1.0701 -0.0622 1.1650 4.3146
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -2.856e+00 2.030e-02 -140.700 < 2e-16 ***
## time -5.488e-03 7.022e-04 -7.815 5.51e-15 ***
## factor(ageClass)14.5 1.705e-01 2.313e-02 7.369 1.72e-13 ***
## factor(ageClass)24.5 1.422e-01 2.282e-02 6.230 4.67e-10 ***
## factor(ageClass)34.5 7.443e-02 2.293e-02 3.247 0.00117 **
## factor(ageClass)44.5 1.962e-02 2.299e-02 0.854 0.39328
## factor(ageClass)54.5 6.438e-02 2.311e-02 2.785 0.00535 **
## factor(ageClass)64.5 1.416e-01 2.394e-02 5.915 3.32e-09 ***
## factor(ageClass)74.5 -2.165e-01 2.736e-02 -7.916 2.46e-15 ***
## factor(ageClass)84.5 -3.483e-01 3.059e-02 -11.388 < 2e-16 ***
## factor(ageClass)94.5 -3.217e-01 3.828e-02 -8.404 < 2e-16 ***
## time:factor(ageClass)14.5 -5.418e-03 8.091e-04 -6.696 2.14e-11 ***
## time:factor(ageClass)24.5 -2.441e-05 8.004e-04 -0.030 0.97567
## time:factor(ageClass)34.5 4.367e-04 8.025e-04 0.544 0.58631
## time:factor(ageClass)44.5 7.576e-04 8.042e-04 0.942 0.34620
## time:factor(ageClass)54.5 1.132e-03 8.111e-04 1.395 0.16294
## time:factor(ageClass)64.5 1.190e-03 8.448e-04 1.409 0.15895
## time:factor(ageClass)74.5 8.154e-03 9.693e-04 8.412 < 2e-16 ***
## time:factor(ageClass)84.5 1.173e-02 1.101e-03 10.656 < 2e-16 ***
## time:factor(ageClass)94.5 1.264e-02 1.426e-03 8.861 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 3922.4 on 459 degrees of freedom
## Residual deviance: 1324.4 on 440 degrees of freedom
## AIC: 4988.4
##
## Number of Fisher Scoring iterations: 3# Without interaction
mdl1.narm <- glm(cbind(V23, notV23.narm) ~ time + factor(ageClass), data = dat.France.ages, family = "binomial")
summary(mdl1.narm)##
## Call:
## glm(formula = cbind(V23, notV23.narm) ~ time + factor(ageClass),
## family = "binomial", data = dat.France.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -6.1990 -1.3127 0.1348 1.5287 6.3047
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -2.8738506 0.0098033 -293.151 < 2e-16 ***
## time -0.0048005 0.0001526 -31.453 < 2e-16 ***
## factor(ageClass)14.5 0.0372982 0.0103999 3.586 0.000335 ***
## factor(ageClass)24.5 0.1430075 0.0102581 13.941 < 2e-16 ***
## factor(ageClass)34.5 0.0862431 0.0103061 8.368 < 2e-16 ***
## factor(ageClass)44.5 0.0391836 0.0103436 3.788 0.000152 ***
## factor(ageClass)54.5 0.0928226 0.0104384 8.892 < 2e-16 ***
## factor(ageClass)64.5 0.1713500 0.0108712 15.762 < 2e-16 ***
## factor(ageClass)74.5 -0.0229947 0.0125431 -1.833 0.066765 .
## factor(ageClass)84.5 -0.0818445 0.0144925 -5.647 1.63e-08 ***
## factor(ageClass)94.5 -0.0508680 0.0193648 -2.627 0.008619 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 3922.4 on 459 degrees of freedom
## Residual deviance: 1949.2 on 449 degrees of freedom
## AIC: 5595.2
##
## Number of Fisher Scoring iterations: 4## Likelihood ratio test
anova(mdl1.narm, mdl0.narm, test="Chisq")## Analysis of Deviance Table
##
## Model 1: cbind(V23, notV23.narm) ~ time + factor(ageClass)
## Model 2: cbind(V23, notV23.narm) ~ time * factor(ageClass)
## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
## 1 449 1949.2
## 2 440 1324.4 9 624.88 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Conclusion : the change in frequency of the variant varies across age classes, different slopes for different ages. Faster for youngest (0-10) and for oldest (70+). Initially lower frequency for old people, but steeper slope: Older ones catch back younger ones.
- Age as quantitative
# Test date effect
mdl2.narm <- glm(cbind(V23, notV23.narm) ~ time * ageClass, data = dat.France.ages, family = "binomial")
summary(mdl2.narm)##
## Call:
## glm(formula = cbind(V23, notV23.narm) ~ time * ageClass, family = "binomial",
## data = dat.France.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -5.6590 -1.8039 -0.4339 1.3108 5.5795
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -2.636e+00 8.843e-03 -298.03 <2e-16 ***
## time -1.112e-02 3.215e-04 -34.60 <2e-16 ***
## ageClass -4.012e-03 1.895e-04 -21.17 <2e-16 ***
## time:ageClass 1.548e-04 6.950e-06 22.27 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 3922.4 on 459 degrees of freedom
## Residual deviance: 2431.6 on 456 degrees of freedom
## AIC: 6063.6
##
## Number of Fisher Scoring iterations: 4## Likelihood ratio test
anova(mdl2.narm, mdl0.narm, test="Chisq")## Analysis of Deviance Table
##
## Model 1: cbind(V23, notV23.narm) ~ time * ageClass
## Model 2: cbind(V23, notV23.narm) ~ time * factor(ageClass)
## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
## 1 456 2431.6
## 2 440 1324.4 16 1107.2 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Multinomial
Prepare plots for distribution of variants
par(mfrow = c(1, 1))
getVec <- function(dataset, prop = TRUE){
if(prop){
nn <- 1
}else{
nn <- dataset$Nb_tests_POS / 7 # Divide by 7 to have average over the week instead of sum
}
x <- dataset$date2
cA <- dataset$Prc_susp_ABS/100 * nn
cB <- cA + dataset$Prc_susp_IND/100 * nn
cC <- cB + dataset$Prc_susp_501Y_V2_3/100 * nn
cD <- cC + dataset$Prc_susp_501Y_V1/100 * nn
list(x = x, cA = cA, cB = cB, cC = cC, cD = cD)
}
colV <- c(brewer.pal(3, "Set2"), gray(0.5))
colV <- colV[c(3, 4, 2, 1)]
plotDist <- function(x, cA, cB, cC, cD){
# if(max(cD, na.rm = TRUE) <= 1.1 | max(cD, na.rm = TRUE) >= 99 | max(cA, na.rm = TRUE) >= 99){
# yl <- "Proportions variants"
# }else{
yl <- "Number cases"
# }
plot(x, cA, ylim = c(0, max(cD, na.rm = TRUE)), type = "l",
xlab = "date", ylab = yl, axes = FALSE)
axis(1, pos = 0, labels = format(x, "%b-%d"), at = x)
axis(2, pos = x[1])
polygon(c(x, rev(x)), c(rep(0, length(x)), rev(cA)), col = colV[1], border = NULL)
polygon(c(x, rev(x)), c(cA, rev(cB)), col = colV[2], border = NULL)
polygon(c(x, rev(x)), c(cB, rev(cC)), col = colV[3], border = NULL)
polygon(c(x, rev(x)), c(cC, rev(cD)), col = colV[4], border = NULL)
nend <- length(x)-1
text(x = rep(x[nend], 4), y = c(cA[nend]/2, cA[nend] + (cB[nend] - cA[nend])/2, cB[nend] + (cC[nend] - cB[nend])/2, cC[nend] + (cD[nend] - cC[nend])/2), labels = c("WT", "indet.", "V2/V3", "V1"), col = "white", adj = 1)
}Frequencies
cc <- getVec(dat.France.0, prop = TRUE)
plotDist(cc$x, cc$cA, cc$cB, cc$cC, cc$cD)
Densities
cc <- getVec(dat.France.0, prop = FALSE)
plotDist(cc$x, cc$cA, cc$cB, cc$cC, cc$cD)
mat <- as.matrix(data.frame(WT = dat.France.ages$Nb_susp_ABS,
V1 = dat.France.ages$Nb_susp_501Y_V1,
V2 = dat.France.ages$Nb_susp_501Y_V2_3,
INDET = dat.France.ages$Nb_susp_IND))
library(nnet)
## Null model
m0 <- multinom(mat ~ 1)## # weights: 8 (3 variable)
## initial value 7839852.276078
## iter 10 value 5107367.856288
## iter 10 value 5107367.854782
## final value 5107367.743089
## convergedsummary(m0)## Call:
## multinom(formula = mat ~ 1)
##
## Coefficients:
## (Intercept)
## V1 1.4459311
## V2 -1.2613147
## INDET -0.6330177
##
## Std. Errors:
## (Intercept)
## V1 0.001150638
## V2 0.002203254
## INDET 0.001757747
##
## Residual Deviance: 10214735
## AIC: 10214741## Compute by hand to check result
log(colSums(mat)[2]/colSums(mat)[1])## V1
## 1.445908log(colSums(mat)[3]/colSums(mat)[1])## V2
## -1.261269log(colSums(mat)[4]/colSums(mat)[1])## INDET
## -0.6329842## Time effect
m1 <- multinom(mat ~ time, data=dat.France.ages)## # weights: 12 (6 variable)
## initial value 7839852.276078
## iter 10 value 4882637.293707
## final value 4882620.152012
## convergedsummary(m1)## Call:
## multinom(formula = mat ~ time, data = dat.France.ages)
##
## Coefficients:
## (Intercept) time
## V1 0.1152681 0.06126942
## V2 -2.1648440 0.04445189
## INDET -1.6304612 0.04831028
##
## Std. Errors:
## (Intercept) time
## V1 0.002180791 9.657466e-05
## V2 0.004484716 1.737668e-04
## INDET 0.003563810 1.405462e-04
##
## Residual Deviance: 9765240
## AIC: 9765252## Likelihood ratio test
anova(m0, m1, test="Chisq")## Model Resid. df Resid. Dev Test Df LR stat. Pr(Chi)
## 1 1 1377 10214735 NA NA NA
## 2 time 1374 9765240 1 vs 2 3 449495.2 0## Age effect
m2 <- multinom(mat ~ time + stdage, data=dat.France.ages)## # weights: 16 (9 variable)
## initial value 7839852.276078
## iter 10 value 4999124.616983
## final value 4879538.495619
## convergedsummary(m2)## Call:
## multinom(formula = mat ~ time + stdage, data = dat.France.ages)
##
## Coefficients:
## (Intercept) time stdage
## V1 0.08905639 0.06100331 -0.03275352
## V2 -2.18073649 0.04429275 -0.02043088
## INDET -1.68041687 0.04780500 -0.05830311
##
## Std. Errors:
## (Intercept) time stdage
## V1 0.002227745 0.0000966784 0.0005745269
## V2 0.004557426 0.0001739540 0.0010130524
## INDET 0.003631193 0.0001407568 0.0007636485
##
## Residual Deviance: 9759077
## AIC: 9759095## Likelihood ratio test
anova(m1, m2, test="Chisq")## Model Resid. df Resid. Dev Test Df LR stat. Pr(Chi)
## 1 time 1374 9765240 NA NA NA
## 2 time + stdage 1371 9759077 1 vs 2 3 6163.313 0## Age effect
m3 <- multinom(mat ~ time * stdage, data=dat.France.ages)## # weights: 20 (12 variable)
## initial value 7839852.276078
## iter 10 value 6510348.858407
## iter 20 value 4925099.605481
## iter 30 value 4878573.654460
## final value 4878573.035531
## convergedsummary(m3)## Call:
## multinom(formula = mat ~ time * stdage, data = dat.France.ages)
##
## Coefficients:
## (Intercept) time stdage time:stdage
## V1 0.06304006 0.06229137 -0.06035668 0.0013033669
## V2 -2.20844874 0.04569125 -0.05019665 0.0014219774
## INDET -1.65538851 0.04708244 -0.03872029 -0.0004397706
##
## Std. Errors:
## (Intercept) time stdage time:stdage
## V1 0.002367954 0.0001057855 0.001077794 4.433307e-05
## V2 0.004882464 0.0001903724 0.002105027 7.862369e-05
## INDET 0.003881754 0.0001547072 0.001649076 6.068228e-05
##
## Residual Deviance: 9757146
## AIC: 9757170## Likelihood ratio test
anova(m2, m3, test="Chisq")## Model Resid. df Resid. Dev Test Df LR stat. Pr(Chi)
## 1 time + stdage 1371 9759077 NA NA NA
## 2 time * stdage 1368 9757146 1 vs 2 3 1930.92 0Pb in the data is the change in the age structure of positive individuals; to really test the effet, we would need information on the negative tests as well, and the age distribution in these negative tests.
tapply(dat.France.ages$Nb_tests_PCR_TA_crible, list(dat.France.ages$cl_age90, dat.France.ages$time), sum)## 0 1 2 3 4 5 6 7 8 9 10 11
## 9 3579 3831 3927 3956 4024 4112 4256 4355 4501 4525 4512 4547
## 19 10525 11475 11878 11942 12487 12881 13204 13521 13716 13746 13790 13936
## 29 11729 12971 13398 13520 14381 14949 15308 15560 15599 15744 15777 15846
## 39 12342 13372 13843 13893 14557 15084 15332 15585 15658 15631 15693 15783
## 49 12448 13591 14059 14177 14890 15416 15781 15851 15934 16054 16061 16044
## 59 11204 12342 12831 12926 13746 14276 14621 14935 15018 15031 15035 14919
## 69 8049 8828 9089 9158 9641 9995 10319 10564 10609 10741 10743 10828
## 79 5182 5629 5852 5925 6120 6434 6610 6684 6741 6762 6738 6757
## 89 4337 4655 4756 4822 4842 4825 4811 4702 4645 4623 4607 4441
## 90 2419 2508 2558 2588 2542 2502 2392 2310 2233 2218 2206 2022
## 12 13 14 15 16 17 18 19 20 21 22 23
## 9 4598 4585 4670 4753 4784 4814 5022 5257 5557 5879 6267 6526
## 19 13966 14055 14084 14238 14375 14388 14723 15238 15690 16311 17036 17411
## 29 15989 16044 16190 16296 16356 16327 16688 16897 17368 18036 18743 19037
## 39 15671 15714 15598 15634 15793 15767 15969 16137 16507 17147 17778 18155
## 49 15874 15739 15750 15573 15568 15566 15887 16195 16711 17237 17941 18282
## 59 14783 14615 14409 14334 14363 14358 14512 14665 15015 15521 15889 16210
## 69 10812 10683 10595 10564 10527 10490 10423 10629 10784 11013 11280 11436
## 79 6635 6535 6444 6427 6459 6449 6475 6446 6502 6651 6715 6791
## 89 4348 4180 4095 4018 4003 3992 3934 3957 4065 4114 4188 4233
## 90 1906 1808 1712 1684 1675 1658 1618 1545 1562 1565 1580 1590
## 24 25 26 27 28 29 30 31 32 33 34 35
## 9 6571 7078 7489 7763 8159 8565 8699 8720 9097 9548 9911 10050
## 19 17510 18371 19126 19855 20405 21012 21328 21347 22189 23237 24081 24548
## 29 19176 19917 20640 21250 21438 21662 21667 21635 21776 22169 22355 22394
## 39 18347 19321 20055 20728 21173 21700 21871 21884 22310 23073 23669 23792
## 49 18445 19216 19902 20542 20842 21242 21518 21513 22166 23012 23513 23762
## 59 16330 17047 17594 18087 18414 18767 18793 18793 19173 19770 20282 20352
## 69 11498 12023 12295 12654 13106 13337 13505 13523 13770 14128 14363 14243
## 79 6866 7075 7153 7255 7326 7434 7457 7468 7515 7768 8001 7960
## 89 4224 4390 4364 4394 4426 4441 4435 4450 4434 4458 4544 4520
## 90 1591 1675 1695 1720 1756 1780 1778 1778 1783 1825 1850 1839
## 36 37 38 39 40 41 42 43 44 45
## 9 10349 10498 10509 10646 10629 10424 9987 8816 8148 8038
## 19 25618 25911 25954 26730 26729 26424 25759 23152 21791 21534
## 29 22695 23009 23027 23346 23103 22591 22087 20466 19433 19228
## 39 24271 24492 24486 24846 24516 23702 23102 21146 19943 19648
## 49 24416 24643 24693 25099 24787 24374 23803 21943 20712 20380
## 59 20782 21074 21039 21454 21239 20798 20433 18861 17790 17591
## 69 14512 14624 14632 14822 14558 14131 13718 12568 11780 11587
## 79 8074 8137 8124 8226 8139 7904 7840 7270 6848 6690
## 89 4557 4601 4626 4738 4763 4599 4538 4247 3978 3855
## 90 1863 1900 1894 1928 1883 1822 1821 1675 1568 1522Données régions
Load data
URL <- "https://www.data.gouv.fr/fr/datasets/r/73e8851a-d851-43f8-89e4-6178b35b7127"
dataFile <- paste0("data/Regions_", today, ".csv") # name file with today's date
download.file(URL, dataFile) # download file from repo
dat.regions <- read.csv(dataFile, sep = ";", stringsAsFactors = FALSE)
# Format date
dat.regions$date1 <- as.Date(substring(dat.regions$semaine, 1, 10))
dat.regions$date2 <- as.Date(substring(dat.regions$semaine, 12, 21))
# Rewrite time as days since beginning of the data
dat.regions$time <- dat.regions$date2 - min(dat.regions$date2)
# Compute data on total tests
dat.regions$Nb_tests_POS <- dat.regions$Nb_tests_PCR_TA_crible / (dat.regions$Prc_tests_PCR_TA_crible / 100)# Codes regions
URL <- "https://www.data.gouv.fr/en/datasets/r/34fc7b52-ef11-4ab0-bc16-e1aae5c942e7"
dataFile <- "data/coderegions.csv"
download.file(URL, dataFile)
codesRegions <- read.csv(dataFile, sep = ",", stringsAsFactors = FALSE)
# Turn into dictionary
regs <- codesRegions$nom_region
names(regs) <- as.character(codesRegions$code_region)# Add region name
dat.regions$reg_name <- regs[as.character(dat.regions$reg)]
# dat.regions[floor(runif(10)*1000), c("reg", "reg_name")] # check a few names
# What are the other regions??
# aggregate(dat.regions$reg, by = list(dat.regions$reg), FUN = length)Format data further
dat.regions.ages <- dat.regions[dat.regions$cl_age90 != 0,]
# Add new age class code -- median of the age class
dat.regions.ages$ageClass <- dic.age[as.character(dat.regions.ages$cl_age90)]
# Standardize age class values
dat.regions.ages$stdage <- (dat.regions.ages$ageClass - mean(dat.regions.ages$ageClass))/dat.regions.ages$ageClassV1
Plot
tmp <- unique(dat.regions$reg) # Region codes
tmp <- tmp[tmp>10 & tmp <= 93] # Choose only metropolitan regions
par(mfrow = c(4, 3))
for(region in tmp){
subdat <- dat.regions[dat.regions$reg == region, ]
plot(subdat$date2, subdat$Prc_susp_501Y_V1, ylim = c(0, 100), main = regs[as.character(region)], col = colsAge[as.character(subdat$cl_age90)], pch = pchAge[as.character(subdat$cl_age90)],
xlab = "date", ylab = "Proportion V1"
)
}
Test
# Create new colums with information on number of specific PCR tests
# PCR with V1 result
dat.regions.ages$V1 <- dat.regions.ages$Nb_susp_501Y_V1
# All other PCRs (considering NAs are non-V1)
dat.regions.ages$notV1 <- dat.regions.ages$Nb_tests_PCR_TA_crible - dat.regions.ages$Nb_susp_501Y_V1
# All other PCRs with a result (removing NAs)
dat.regions.ages$notV1.narm <- dat.regions.ages$Nb_susp_501Y_V2_3 + dat.regions.ages$Nb_susp_ABS
# Check that columns currently sum
all(dat.regions.ages$Nb_susp_501Y_V2_3 + dat.regions.ages$Nb_susp_ABS + dat.regions.ages$Nb_susp_501Y_V1 + dat.regions.ages$Nb_susp_IND - dat.regions.ages$Nb_tests_PCR_TA_crible == 0)## [1] TRUEdat.regions.ages$reg_name.fac <- as.factor(dat.regions.ages$reg_name)GLM, assume that all indeterminate PCRs are non-V1
- Age as factor, compare models without and with interaction between age and time
# GLM
# Assuming that all IND (indetermine) are non-V1
mdl0 <- glm(cbind(V1, notV1) ~ time * factor(ageClass) * factor(reg_name), data = dat.regions.ages, family = "binomial")## Warning: glm.fit: algorithm did not converge## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurredsummary(mdl0)##
## Call:
## glm(formula = cbind(V1, notV1) ~ time * factor(ageClass) * factor(reg_name),
## family = "binomial", data = dat.regions.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -307.19 -111.09 -33.93 0.00 625.57
##
## Coefficients: (4 not defined because of singularities)
## Estimate
## (Intercept) 8.455e+14
## time 5.939e+13
## factor(ageClass)14.5 1.808e+15
## factor(ageClass)24.5 6.062e+14
## factor(ageClass)34.5 -8.455e+14
## factor(ageClass)44.5 -8.455e+14
## factor(ageClass)54.5 3.114e+15
## factor(ageClass)64.5 3.022e+15
## factor(ageClass)74.5 9.573e+14
## factor(ageClass)84.5 -5.496e+15
## factor(ageClass)94.5 2.586e+14
## factor(reg_name)Bourgogne-Franche-Comté 1.186e+15
## factor(reg_name)Bretagne 3.901e+14
## factor(reg_name)Centre-Val de Loire -1.066e+14
## factor(reg_name)Corse 2.014e+15
## factor(reg_name)Grand Est -2.401e+15
## factor(reg_name)Guadeloupe 1.761e+15
## factor(reg_name)Guyane -4.707e+15
## factor(reg_name)Hauts-de-France 1.585e+15
## factor(reg_name)ÃŽle-de-France 2.882e+15
## factor(reg_name)La Réunion 3.777e+12
## factor(reg_name)Martinique -1.034e+14
## factor(reg_name)Mayotte -1.104e+15
## factor(reg_name)Normandie -6.324e+14
## factor(reg_name)Nouvelle-Aquitaine -3.945e+14
## factor(reg_name)Occitanie -1.299e+14
## factor(reg_name)Pays de la Loire -9.851e+14
## factor(reg_name)Provence-Alpes-Côte d'Azur 3.338e+14
## time:factor(ageClass)14.5 -4.591e+13
## time:factor(ageClass)24.5 4.779e+12
## time:factor(ageClass)34.5 -5.939e+13
## time:factor(ageClass)44.5 -5.939e+13
## time:factor(ageClass)54.5 -1.584e+14
## time:factor(ageClass)64.5 -1.514e+14
## time:factor(ageClass)74.5 -2.010e+13
## time:factor(ageClass)84.5 1.399e+14
## time:factor(ageClass)94.5 -2.045e+13
## time:factor(reg_name)Bourgogne-Franche-Comté -3.798e+13
## time:factor(reg_name)Bretagne -1.344e+13
## time:factor(reg_name)Centre-Val de Loire -2.179e+13
## time:factor(reg_name)Corse -8.182e+13
## time:factor(reg_name)Grand Est 1.989e+13
## time:factor(reg_name)Guadeloupe -8.813e+13
## time:factor(reg_name)Guyane 7.334e+13
## time:factor(reg_name)Hauts-de-France -5.505e+13
## time:factor(reg_name)ÃŽle-de-France -8.938e+13
## time:factor(reg_name)La Réunion -9.083e+13
## time:factor(reg_name)Martinique -2.082e+13
## time:factor(reg_name)Mayotte -3.894e+13
## time:factor(reg_name)Normandie -8.137e+12
## time:factor(reg_name)Nouvelle-Aquitaine 6.577e+12
## time:factor(reg_name)Occitanie -1.136e+13
## time:factor(reg_name)Pays de la Loire 2.488e+12
## time:factor(reg_name)Provence-Alpes-Côte d'Azur -3.475e+12
## factor(ageClass)14.5:factor(reg_name)Bourgogne-Franche-Comté -3.840e+15
## factor(ageClass)24.5:factor(reg_name)Bourgogne-Franche-Comté -2.638e+15
## factor(ageClass)34.5:factor(reg_name)Bourgogne-Franche-Comté -4.174e+15
## factor(ageClass)44.5:factor(reg_name)Bourgogne-Franche-Comté -2.315e+15
## factor(ageClass)54.5:factor(reg_name)Bourgogne-Franche-Comté -8.305e+15
## factor(ageClass)64.5:factor(reg_name)Bourgogne-Franche-Comté -8.333e+15
## factor(ageClass)74.5:factor(reg_name)Bourgogne-Franche-Comté -1.776e+15
## factor(ageClass)84.5:factor(reg_name)Bourgogne-Franche-Comté 4.277e+15
## factor(ageClass)94.5:factor(reg_name)Bourgogne-Franche-Comté -1.024e+15
## factor(ageClass)14.5:factor(reg_name)Bretagne 1.409e+14
## factor(ageClass)24.5:factor(reg_name)Bretagne 1.840e+15
## factor(ageClass)34.5:factor(reg_name)Bretagne -3.901e+14
## factor(ageClass)44.5:factor(reg_name)Bretagne -3.901e+14
## factor(ageClass)54.5:factor(reg_name)Bretagne -4.349e+15
## factor(ageClass)64.5:factor(reg_name)Bretagne -4.257e+15
## factor(ageClass)74.5:factor(reg_name)Bretagne 1.063e+15
## factor(ageClass)84.5:factor(reg_name)Bretagne 6.502e+15
## factor(ageClass)94.5:factor(reg_name)Bretagne -1.792e+15
## factor(ageClass)14.5:factor(reg_name)Centre-Val de Loire 8.149e+14
## factor(ageClass)24.5:factor(reg_name)Centre-Val de Loire 1.677e+15
## factor(ageClass)34.5:factor(reg_name)Centre-Val de Loire -2.228e+15
## factor(ageClass)44.5:factor(reg_name)Centre-Val de Loire -7.648e+14
## factor(ageClass)54.5:factor(reg_name)Centre-Val de Loire -3.853e+15
## factor(ageClass)64.5:factor(reg_name)Centre-Val de Loire -3.761e+15
## factor(ageClass)74.5:factor(reg_name)Centre-Val de Loire 7.031e+14
## factor(ageClass)84.5:factor(reg_name)Centre-Val de Loire 6.210e+15
## factor(ageClass)94.5:factor(reg_name)Centre-Val de Loire -3.604e+15
## factor(ageClass)14.5:factor(reg_name)Corse -1.503e+15
## factor(ageClass)24.5:factor(reg_name)Corse 8.611e+14
## factor(ageClass)34.5:factor(reg_name)Corse 3.218e+15
## factor(ageClass)44.5:factor(reg_name)Corse 1.978e+15
## factor(ageClass)54.5:factor(reg_name)Corse -2.156e+15
## factor(ageClass)64.5:factor(reg_name)Corse -1.967e+15
## factor(ageClass)74.5:factor(reg_name)Corse -2.556e+15
## factor(ageClass)84.5:factor(reg_name)Corse 2.852e+15
## factor(ageClass)94.5:factor(reg_name)Corse 6.647e+13
## factor(ageClass)14.5:factor(reg_name)Grand Est 1.807e+15
## factor(ageClass)24.5:factor(reg_name)Grand Est 3.350e+15
## factor(ageClass)34.5:factor(reg_name)Grand Est -5.945e+14
## factor(ageClass)44.5:factor(reg_name)Grand Est 2.671e+15
## factor(ageClass)54.5:factor(reg_name)Grand Est -1.558e+15
## factor(ageClass)64.5:factor(reg_name)Grand Est -1.466e+15
## factor(ageClass)74.5:factor(reg_name)Grand Est 2.702e+15
## factor(ageClass)84.5:factor(reg_name)Grand Est 8.221e+15
## factor(ageClass)94.5:factor(reg_name)Grand Est -1.487e+15
## factor(ageClass)14.5:factor(reg_name)Guadeloupe -1.286e+15
## factor(ageClass)24.5:factor(reg_name)Guadeloupe 4.998e+14
## factor(ageClass)34.5:factor(reg_name)Guadeloupe 2.967e+15
## factor(ageClass)44.5:factor(reg_name)Guadeloupe 3.112e+15
## factor(ageClass)54.5:factor(reg_name)Guadeloupe -3.359e+15
## factor(ageClass)64.5:factor(reg_name)Guadeloupe -3.373e+15
## factor(ageClass)74.5:factor(reg_name)Guadeloupe -4.912e+14
## factor(ageClass)84.5:factor(reg_name)Guadeloupe 6.907e+15
## factor(ageClass)94.5:factor(reg_name)Guadeloupe 1.638e+15
## factor(ageClass)14.5:factor(reg_name)Guyane -2.869e+15
## factor(ageClass)24.5:factor(reg_name)Guyane 2.453e+15
## factor(ageClass)34.5:factor(reg_name)Guyane 3.329e+15
## factor(ageClass)44.5:factor(reg_name)Guyane 4.908e+15
## factor(ageClass)54.5:factor(reg_name)Guyane -4.961e+14
## factor(ageClass)64.5:factor(reg_name)Guyane -4.523e+15
## factor(ageClass)74.5:factor(reg_name)Guyane 4.493e+14
## factor(ageClass)84.5:factor(reg_name)Guyane 4.854e+15
## factor(ageClass)94.5:factor(reg_name)Guyane NA
## factor(ageClass)14.5:factor(reg_name)Hauts-de-France -4.238e+15
## factor(ageClass)24.5:factor(reg_name)Hauts-de-France -3.037e+15
## factor(ageClass)34.5:factor(reg_name)Hauts-de-France -3.412e+15
## factor(ageClass)44.5:factor(reg_name)Hauts-de-France -1.905e+15
## factor(ageClass)54.5:factor(reg_name)Hauts-de-France -7.456e+15
## factor(ageClass)64.5:factor(reg_name)Hauts-de-France -5.385e+15
## factor(ageClass)74.5:factor(reg_name)Hauts-de-France -2.770e+14
## factor(ageClass)84.5:factor(reg_name)Hauts-de-France 5.115e+15
## factor(ageClass)94.5:factor(reg_name)Hauts-de-France -1.166e+14
## factor(ageClass)14.5:factor(reg_name)ÃŽle-de-France -5.536e+15
## factor(ageClass)24.5:factor(reg_name)ÃŽle-de-France -4.334e+15
## factor(ageClass)34.5:factor(reg_name)ÃŽle-de-France -3.426e+15
## factor(ageClass)44.5:factor(reg_name)ÃŽle-de-France -3.706e+15
## factor(ageClass)54.5:factor(reg_name)ÃŽle-de-France -8.697e+15
## factor(ageClass)64.5:factor(reg_name)ÃŽle-de-France -7.444e+15
## factor(ageClass)74.5:factor(reg_name)ÃŽle-de-France -2.086e+15
## factor(ageClass)84.5:factor(reg_name)ÃŽle-de-France 3.679e+15
## factor(ageClass)94.5:factor(reg_name)ÃŽle-de-France -1.573e+15
## factor(ageClass)14.5:factor(reg_name)La Réunion -2.657e+15
## factor(ageClass)24.5:factor(reg_name)La Réunion -1.456e+15
## factor(ageClass)34.5:factor(reg_name)La Réunion -2.856e+15
## factor(ageClass)44.5:factor(reg_name)La Réunion -2.743e+15
## factor(ageClass)54.5:factor(reg_name)La Réunion -6.637e+15
## factor(ageClass)64.5:factor(reg_name)La Réunion -6.532e+15
## factor(ageClass)74.5:factor(reg_name)La Réunion -1.783e+15
## factor(ageClass)84.5:factor(reg_name)La Réunion 4.686e+15
## factor(ageClass)94.5:factor(reg_name)La Réunion -4.114e+15
## factor(ageClass)14.5:factor(reg_name)Martinique 2.708e+15
## factor(ageClass)24.5:factor(reg_name)Martinique 3.631e+15
## factor(ageClass)34.5:factor(reg_name)Martinique 1.044e+14
## factor(ageClass)44.5:factor(reg_name)Martinique 1.034e+14
## factor(ageClass)54.5:factor(reg_name)Martinique -9.327e+13
## factor(ageClass)64.5:factor(reg_name)Martinique 3.727e+13
## factor(ageClass)74.5:factor(reg_name)Martinique -1.722e+15
## factor(ageClass)84.5:factor(reg_name)Martinique 7.336e+15
## factor(ageClass)94.5:factor(reg_name)Martinique -1.212e+15
## factor(ageClass)14.5:factor(reg_name)Mayotte -5.449e+15
## factor(ageClass)24.5:factor(reg_name)Mayotte -4.565e+15
## factor(ageClass)34.5:factor(reg_name)Mayotte -3.068e+15
## factor(ageClass)44.5:factor(reg_name)Mayotte -3.399e+15
## factor(ageClass)54.5:factor(reg_name)Mayotte -7.498e+15
## factor(ageClass)64.5:factor(reg_name)Mayotte -5.842e+15
## factor(ageClass)74.5:factor(reg_name)Mayotte -3.679e+15
## factor(ageClass)84.5:factor(reg_name)Mayotte 1.297e+15
## factor(ageClass)94.5:factor(reg_name)Mayotte NA
## factor(ageClass)14.5:factor(reg_name)Normandie 1.270e+15
## factor(ageClass)24.5:factor(reg_name)Normandie 2.576e+15
## factor(ageClass)34.5:factor(reg_name)Normandie 6.324e+14
## factor(ageClass)44.5:factor(reg_name)Normandie 6.324e+14
## factor(ageClass)54.5:factor(reg_name)Normandie 1.061e+15
## factor(ageClass)64.5:factor(reg_name)Normandie 8.650e+14
## factor(ageClass)74.5:factor(reg_name)Normandie -2.082e+15
## factor(ageClass)84.5:factor(reg_name)Normandie 7.162e+15
## factor(ageClass)94.5:factor(reg_name)Normandie -2.225e+15
## factor(ageClass)14.5:factor(reg_name)Nouvelle-Aquitaine 1.157e+15
## factor(ageClass)24.5:factor(reg_name)Nouvelle-Aquitaine 1.949e+15
## factor(ageClass)34.5:factor(reg_name)Nouvelle-Aquitaine 3.945e+14
## factor(ageClass)44.5:factor(reg_name)Nouvelle-Aquitaine 3.945e+14
## factor(ageClass)54.5:factor(reg_name)Nouvelle-Aquitaine 3.673e+14
## factor(ageClass)64.5:factor(reg_name)Nouvelle-Aquitaine 4.242e+14
## factor(ageClass)74.5:factor(reg_name)Nouvelle-Aquitaine 4.912e+14
## factor(ageClass)84.5:factor(reg_name)Nouvelle-Aquitaine 6.178e+15
## factor(ageClass)94.5:factor(reg_name)Nouvelle-Aquitaine -4.431e+15
## factor(ageClass)14.5:factor(reg_name)Occitanie 8.793e+14
## factor(ageClass)24.5:factor(reg_name)Occitanie 2.008e+15
## factor(ageClass)34.5:factor(reg_name)Occitanie 1.299e+14
## factor(ageClass)44.5:factor(reg_name)Occitanie 1.299e+14
## factor(ageClass)54.5:factor(reg_name)Occitanie -5.337e+14
## factor(ageClass)64.5:factor(reg_name)Occitanie -4.657e+14
## factor(ageClass)74.5:factor(reg_name)Occitanie 4.048e+14
## factor(ageClass)84.5:factor(reg_name)Occitanie 6.639e+15
## factor(ageClass)94.5:factor(reg_name)Occitanie -2.402e+15
## factor(ageClass)14.5:factor(reg_name)Pays de la Loire 1.208e+15
## factor(ageClass)24.5:factor(reg_name)Pays de la Loire 2.403e+15
## factor(ageClass)34.5:factor(reg_name)Pays de la Loire 9.851e+14
## factor(ageClass)44.5:factor(reg_name)Pays de la Loire 9.851e+14
## factor(ageClass)54.5:factor(reg_name)Pays de la Loire -2.831e+13
## factor(ageClass)64.5:factor(reg_name)Pays de la Loire 9.440e+14
## factor(ageClass)74.5:factor(reg_name)Pays de la Loire -1.868e+15
## factor(ageClass)84.5:factor(reg_name)Pays de la Loire 7.009e+15
## factor(ageClass)94.5:factor(reg_name)Pays de la Loire -2.463e+15
## factor(ageClass)14.5:factor(reg_name)Provence-Alpes-Côte d'Azur 5.686e+14
## factor(ageClass)24.5:factor(reg_name)Provence-Alpes-Côte d'Azur 1.591e+15
## factor(ageClass)34.5:factor(reg_name)Provence-Alpes-Côte d'Azur -3.338e+14
## factor(ageClass)44.5:factor(reg_name)Provence-Alpes-Côte d'Azur -3.338e+14
## factor(ageClass)54.5:factor(reg_name)Provence-Alpes-Côte d'Azur -2.286e+15
## factor(ageClass)64.5:factor(reg_name)Provence-Alpes-Côte d'Azur 1.492e+14
## factor(ageClass)74.5:factor(reg_name)Provence-Alpes-Côte d'Azur -1.267e+15
## factor(ageClass)84.5:factor(reg_name)Provence-Alpes-Côte d'Azur 5.971e+15
## factor(ageClass)94.5:factor(reg_name)Provence-Alpes-Côte d'Azur -3.108e+15
## time:factor(ageClass)14.5:factor(reg_name)Bourgogne-Franche-Comté 2.450e+13
## time:factor(ageClass)24.5:factor(reg_name)Bourgogne-Franche-Comté -2.619e+13
## time:factor(ageClass)34.5:factor(reg_name)Bourgogne-Franche-Comté 9.543e+13
## time:factor(ageClass)44.5:factor(reg_name)Bourgogne-Franche-Comté 4.240e+13
## time:factor(ageClass)54.5:factor(reg_name)Bourgogne-Franche-Comté 1.993e+14
## time:factor(ageClass)64.5:factor(reg_name)Bourgogne-Franche-Comté 1.939e+14
## time:factor(ageClass)74.5:factor(reg_name)Bourgogne-Franche-Comté 5.510e+13
## time:factor(ageClass)84.5:factor(reg_name)Bourgogne-Franche-Comté -1.086e+14
## time:factor(ageClass)94.5:factor(reg_name)Bourgogne-Franche-Comté 6.074e+12
## time:factor(ageClass)14.5:factor(reg_name)Bretagne 3.856e+12
## time:factor(ageClass)24.5:factor(reg_name)Bretagne -8.263e+13
## time:factor(ageClass)34.5:factor(reg_name)Bretagne 1.344e+13
## time:factor(ageClass)44.5:factor(reg_name)Bretagne 1.344e+13
## time:factor(ageClass)54.5:factor(reg_name)Bretagne 1.124e+14
## time:factor(ageClass)64.5:factor(reg_name)Bretagne 1.055e+14
## time:factor(ageClass)74.5:factor(reg_name)Bretagne -4.539e+13
## time:factor(ageClass)84.5:factor(reg_name)Bretagne -1.587e+14
## time:factor(ageClass)94.5:factor(reg_name)Bretagne 4.780e+13
## time:factor(ageClass)14.5:factor(reg_name)Centre-Val de Loire -1.740e+13
## time:factor(ageClass)24.5:factor(reg_name)Centre-Val de Loire -5.597e+13
## time:factor(ageClass)34.5:factor(reg_name)Centre-Val de Loire 6.091e+13
## time:factor(ageClass)44.5:factor(reg_name)Centre-Val de Loire 1.843e+13
## time:factor(ageClass)54.5:factor(reg_name)Centre-Val de Loire 1.208e+14
## time:factor(ageClass)64.5:factor(reg_name)Centre-Val de Loire 1.138e+14
## time:factor(ageClass)74.5:factor(reg_name)Centre-Val de Loire -7.531e+12
## time:factor(ageClass)84.5:factor(reg_name)Centre-Val de Loire -1.275e+14
## time:factor(ageClass)94.5:factor(reg_name)Centre-Val de Loire 1.240e+14
## time:factor(ageClass)14.5:factor(reg_name)Corse 5.884e+13
## time:factor(ageClass)24.5:factor(reg_name)Corse -4.244e+13
## time:factor(ageClass)34.5:factor(reg_name)Corse -4.575e+13
## time:factor(ageClass)44.5:factor(reg_name)Corse 4.037e+13
## time:factor(ageClass)54.5:factor(reg_name)Corse 1.539e+14
## time:factor(ageClass)64.5:factor(reg_name)Corse 1.476e+14
## time:factor(ageClass)74.5:factor(reg_name)Corse 1.027e+14
## time:factor(ageClass)84.5:factor(reg_name)Corse -3.380e+13
## time:factor(ageClass)94.5:factor(reg_name)Corse 1.394e+13
## time:factor(ageClass)14.5:factor(reg_name)Grand Est -2.570e+13
## time:factor(ageClass)24.5:factor(reg_name)Grand Est -9.111e+13
## time:factor(ageClass)34.5:factor(reg_name)Grand Est 2.405e+13
## time:factor(ageClass)44.5:factor(reg_name)Grand Est -7.380e+13
## time:factor(ageClass)54.5:factor(reg_name)Grand Est 7.909e+13
## time:factor(ageClass)64.5:factor(reg_name)Grand Est 7.212e+13
## time:factor(ageClass)74.5:factor(reg_name)Grand Est -7.271e+13
## time:factor(ageClass)84.5:factor(reg_name)Grand Est -1.802e+14
## time:factor(ageClass)94.5:factor(reg_name)Grand Est 3.200e+13
## time:factor(ageClass)14.5:factor(reg_name)Guadeloupe 9.631e+13
## time:factor(ageClass)24.5:factor(reg_name)Guadeloupe 3.794e+13
## time:factor(ageClass)34.5:factor(reg_name)Guadeloupe 3.270e+13
## time:factor(ageClass)44.5:factor(reg_name)Guadeloupe 3.416e+13
## time:factor(ageClass)54.5:factor(reg_name)Guadeloupe 2.294e+14
## time:factor(ageClass)64.5:factor(reg_name)Guadeloupe 2.186e+14
## time:factor(ageClass)74.5:factor(reg_name)Guadeloupe 5.604e+13
## time:factor(ageClass)84.5:factor(reg_name)Guadeloupe -1.258e+14
## time:factor(ageClass)94.5:factor(reg_name)Guadeloupe 4.918e+13
## time:factor(ageClass)14.5:factor(reg_name)Guyane -3.214e+13
## time:factor(ageClass)24.5:factor(reg_name)Guyane -1.852e+14
## time:factor(ageClass)34.5:factor(reg_name)Guyane -1.046e+14
## time:factor(ageClass)44.5:factor(reg_name)Guyane -1.666e+14
## time:factor(ageClass)54.5:factor(reg_name)Guyane -1.607e+13
## time:factor(ageClass)64.5:factor(reg_name)Guyane 7.662e+13
## time:factor(ageClass)74.5:factor(reg_name)Guyane -2.433e+13
## time:factor(ageClass)84.5:factor(reg_name)Guyane -2.726e+14
## time:factor(ageClass)94.5:factor(reg_name)Guyane NA
## time:factor(ageClass)14.5:factor(reg_name)Hauts-de-France 4.157e+13
## time:factor(ageClass)24.5:factor(reg_name)Hauts-de-France -9.116e+12
## time:factor(ageClass)34.5:factor(reg_name)Hauts-de-France 8.433e+13
## time:factor(ageClass)44.5:factor(reg_name)Hauts-de-France 3.732e+13
## time:factor(ageClass)54.5:factor(reg_name)Hauts-de-France 1.861e+14
## time:factor(ageClass)64.5:factor(reg_name)Hauts-de-France 1.132e+14
## time:factor(ageClass)74.5:factor(reg_name)Hauts-de-France -3.683e+12
## time:factor(ageClass)84.5:factor(reg_name)Hauts-de-France -1.111e+14
## time:factor(ageClass)94.5:factor(reg_name)Hauts-de-France 6.727e+12
## time:factor(ageClass)14.5:factor(reg_name)ÃŽle-de-France 7.590e+13
## time:factor(ageClass)24.5:factor(reg_name)ÃŽle-de-France 2.521e+13
## time:factor(ageClass)34.5:factor(reg_name)ÃŽle-de-France 7.116e+13
## time:factor(ageClass)44.5:factor(reg_name)ÃŽle-de-France 8.208e+13
## time:factor(ageClass)54.5:factor(reg_name)ÃŽle-de-France 2.126e+14
## time:factor(ageClass)64.5:factor(reg_name)ÃŽle-de-France 1.667e+14
## time:factor(ageClass)74.5:factor(reg_name)ÃŽle-de-France 6.496e+13
## time:factor(ageClass)84.5:factor(reg_name)ÃŽle-de-France -7.395e+13
## time:factor(ageClass)94.5:factor(reg_name)ÃŽle-de-France 4.292e+13
## time:factor(ageClass)14.5:factor(reg_name)La Réunion 7.734e+13
## time:factor(ageClass)24.5:factor(reg_name)La Réunion 2.666e+13
## time:factor(ageClass)34.5:factor(reg_name)La Réunion 5.012e+13
## time:factor(ageClass)44.5:factor(reg_name)La Réunion 4.717e+13
## time:factor(ageClass)54.5:factor(reg_name)La Réunion 1.482e+14
## time:factor(ageClass)64.5:factor(reg_name)La Réunion 1.410e+14
## time:factor(ageClass)74.5:factor(reg_name)La Réunion 6.465e+13
## time:factor(ageClass)84.5:factor(reg_name)La Réunion -9.198e+13
## time:factor(ageClass)94.5:factor(reg_name)La Réunion 1.963e+14
## time:factor(ageClass)14.5:factor(reg_name)Martinique -6.725e+13
## time:factor(ageClass)24.5:factor(reg_name)Martinique -9.520e+13
## time:factor(ageClass)34.5:factor(reg_name)Martinique 2.079e+13
## time:factor(ageClass)44.5:factor(reg_name)Martinique 2.082e+13
## time:factor(ageClass)54.5:factor(reg_name)Martinique 1.079e+14
## time:factor(ageClass)64.5:factor(reg_name)Martinique 8.790e+13
## time:factor(ageClass)74.5:factor(reg_name)Martinique 4.988e+13
## time:factor(ageClass)84.5:factor(reg_name)Martinique -1.304e+14
## time:factor(ageClass)94.5:factor(reg_name)Martinique 2.875e+13
## time:factor(ageClass)14.5:factor(reg_name)Mayotte 1.238e+14
## time:factor(ageClass)24.5:factor(reg_name)Mayotte 1.175e+13
## time:factor(ageClass)34.5:factor(reg_name)Mayotte 1.296e+14
## time:factor(ageClass)44.5:factor(reg_name)Mayotte 3.894e+13
## time:factor(ageClass)54.5:factor(reg_name)Mayotte 2.239e+14
## time:factor(ageClass)64.5:factor(reg_name)Mayotte 6.870e+13
## time:factor(ageClass)74.5:factor(reg_name)Mayotte 3.126e+12
## time:factor(ageClass)84.5:factor(reg_name)Mayotte -1.097e+14
## time:factor(ageClass)94.5:factor(reg_name)Mayotte NA
## time:factor(ageClass)14.5:factor(reg_name)Normandie -2.754e+13
## time:factor(ageClass)24.5:factor(reg_name)Normandie -8.571e+13
## time:factor(ageClass)34.5:factor(reg_name)Normandie 8.137e+12
## time:factor(ageClass)44.5:factor(reg_name)Normandie 8.137e+12
## time:factor(ageClass)54.5:factor(reg_name)Normandie 1.094e+11
## time:factor(ageClass)64.5:factor(reg_name)Normandie 1.552e+11
## time:factor(ageClass)74.5:factor(reg_name)Normandie 5.319e+13
## time:factor(ageClass)84.5:factor(reg_name)Normandie -1.619e+14
## time:factor(ageClass)94.5:factor(reg_name)Normandie 5.492e+13
## time:factor(ageClass)14.5:factor(reg_name)Nouvelle-Aquitaine -4.322e+13
## time:factor(ageClass)24.5:factor(reg_name)Nouvelle-Aquitaine -8.320e+13
## time:factor(ageClass)34.5:factor(reg_name)Nouvelle-Aquitaine -6.577e+12
## time:factor(ageClass)44.5:factor(reg_name)Nouvelle-Aquitaine -6.577e+12
## time:factor(ageClass)54.5:factor(reg_name)Nouvelle-Aquitaine -5.896e+12
## time:factor(ageClass)64.5:factor(reg_name)Nouvelle-Aquitaine -9.611e+12
## time:factor(ageClass)74.5:factor(reg_name)Nouvelle-Aquitaine -2.253e+13
## time:factor(ageClass)84.5:factor(reg_name)Nouvelle-Aquitaine -1.533e+14
## time:factor(ageClass)94.5:factor(reg_name)Nouvelle-Aquitaine 9.258e+13
## time:factor(ageClass)14.5:factor(reg_name)Occitanie -2.625e+13
## time:factor(ageClass)24.5:factor(reg_name)Occitanie -7.759e+13
## time:factor(ageClass)34.5:factor(reg_name)Occitanie 1.136e+13
## time:factor(ageClass)44.5:factor(reg_name)Occitanie 1.136e+13
## time:factor(ageClass)54.5:factor(reg_name)Occitanie 8.178e+13
## time:factor(ageClass)64.5:factor(reg_name)Occitanie 2.358e+13
## time:factor(ageClass)74.5:factor(reg_name)Occitanie -1.165e+13
## time:factor(ageClass)84.5:factor(reg_name)Occitanie -1.521e+14
## time:factor(ageClass)94.5:factor(reg_name)Occitanie 6.964e+13
## time:factor(ageClass)14.5:factor(reg_name)Pays de la Loire -3.277e+13
## time:factor(ageClass)24.5:factor(reg_name)Pays de la Loire -8.248e+13
## time:factor(ageClass)34.5:factor(reg_name)Pays de la Loire -2.488e+12
## time:factor(ageClass)44.5:factor(reg_name)Pays de la Loire -2.488e+12
## time:factor(ageClass)54.5:factor(reg_name)Pays de la Loire 7.393e+13
## time:factor(ageClass)64.5:factor(reg_name)Pays de la Loire -3.794e+12
## time:factor(ageClass)74.5:factor(reg_name)Pays de la Loire 4.956e+13
## time:factor(ageClass)84.5:factor(reg_name)Pays de la Loire -1.586e+14
## time:factor(ageClass)94.5:factor(reg_name)Pays de la Loire 6.745e+13
## time:factor(ageClass)14.5:factor(reg_name)Provence-Alpes-Côte d'Azur -3.683e+13
## time:factor(ageClass)24.5:factor(reg_name)Provence-Alpes-Côte d'Azur -8.737e+13
## time:factor(ageClass)34.5:factor(reg_name)Provence-Alpes-Côte d'Azur 3.475e+12
## time:factor(ageClass)44.5:factor(reg_name)Provence-Alpes-Côte d'Azur 3.475e+12
## time:factor(ageClass)54.5:factor(reg_name)Provence-Alpes-Côte d'Azur 5.228e+13
## time:factor(ageClass)64.5:factor(reg_name)Provence-Alpes-Côte d'Azur -1.061e+13
## time:factor(ageClass)74.5:factor(reg_name)Provence-Alpes-Côte d'Azur 4.502e+13
## time:factor(ageClass)84.5:factor(reg_name)Provence-Alpes-Côte d'Azur -1.423e+14
## time:factor(ageClass)94.5:factor(reg_name)Provence-Alpes-Côte d'Azur 8.096e+13
## Std. Error
## (Intercept) 8.174e+05
## time 2.783e+04
## factor(ageClass)14.5 9.521e+05
## factor(ageClass)24.5 9.474e+05
## factor(ageClass)34.5 8.174e+05
## factor(ageClass)44.5 8.174e+05
## factor(ageClass)54.5 9.362e+05
## factor(ageClass)64.5 9.832e+05
## factor(ageClass)74.5 1.077e+06
## factor(ageClass)84.5 1.178e+06
## factor(ageClass)94.5 1.489e+06
## factor(reg_name)Bourgogne-Franche-Comté 1.830e+06
## factor(reg_name)Bretagne 1.763e+06
## factor(reg_name)Centre-Val de Loire 2.038e+06
## factor(reg_name)Corse 5.834e+06
## factor(reg_name)Grand Est 1.276e+06
## factor(reg_name)Guadeloupe 1.813e+07
## factor(reg_name)Guyane 2.447e+07
## factor(reg_name)Hauts-de-France 1.062e+06
## factor(reg_name)ÃŽle-de-France 1.002e+06
## factor(reg_name)La Réunion 3.783e+06
## factor(reg_name)Martinique 1.683e+07
## factor(reg_name)Mayotte 1.418e+08
## factor(reg_name)Normandie 1.641e+06
## factor(reg_name)Nouvelle-Aquitaine 1.535e+06
## factor(reg_name)Occitanie 1.390e+06
## factor(reg_name)Pays de la Loire 1.576e+06
## factor(reg_name)Provence-Alpes-Côte d'Azur 1.253e+06
## time:factor(ageClass)14.5 3.235e+04
## time:factor(ageClass)24.5 3.253e+04
## time:factor(ageClass)34.5 2.783e+04
## time:factor(ageClass)44.5 2.783e+04
## time:factor(ageClass)54.5 3.008e+04
## time:factor(ageClass)64.5 3.073e+04
## time:factor(ageClass)74.5 3.773e+04
## time:factor(ageClass)84.5 4.256e+04
## time:factor(ageClass)94.5 5.738e+04
## time:factor(reg_name)Bourgogne-Franche-Comté 5.984e+04
## time:factor(reg_name)Bretagne 5.917e+04
## time:factor(reg_name)Centre-Val de Loire 6.659e+04
## time:factor(reg_name)Corse 2.046e+05
## time:factor(reg_name)Grand Est 4.295e+04
## time:factor(reg_name)Guadeloupe 6.262e+05
## time:factor(reg_name)Guyane 7.635e+05
## time:factor(reg_name)Hauts-de-France 3.605e+04
## time:factor(reg_name)ÃŽle-de-France 3.415e+04
## time:factor(reg_name)La Réunion 1.345e+05
## time:factor(reg_name)Martinique 5.430e+05
## time:factor(reg_name)Mayotte 1.268e+07
## time:factor(reg_name)Normandie 5.441e+04
## time:factor(reg_name)Nouvelle-Aquitaine 5.209e+04
## time:factor(reg_name)Occitanie 4.675e+04
## time:factor(reg_name)Pays de la Loire 5.173e+04
## time:factor(reg_name)Provence-Alpes-Côte d'Azur 4.308e+04
## factor(ageClass)14.5:factor(reg_name)Bourgogne-Franche-Comté 1.894e+06
## factor(ageClass)24.5:factor(reg_name)Bourgogne-Franche-Comté 1.892e+06
## factor(ageClass)34.5:factor(reg_name)Bourgogne-Franche-Comté 2.036e+06
## factor(ageClass)44.5:factor(reg_name)Bourgogne-Franche-Comté 2.020e+06
## factor(ageClass)54.5:factor(reg_name)Bourgogne-Franche-Comté 2.071e+06
## factor(ageClass)64.5:factor(reg_name)Bourgogne-Franche-Comté 2.142e+06
## factor(ageClass)74.5:factor(reg_name)Bourgogne-Franche-Comté 2.285e+06
## factor(ageClass)84.5:factor(reg_name)Bourgogne-Franche-Comté 2.420e+06
## factor(ageClass)94.5:factor(reg_name)Bourgogne-Franche-Comté 2.947e+06
## factor(ageClass)14.5:factor(reg_name)Bretagne 2.035e+06
## factor(ageClass)24.5:factor(reg_name)Bretagne 2.016e+06
## factor(ageClass)34.5:factor(reg_name)Bretagne 1.763e+06
## factor(ageClass)44.5:factor(reg_name)Bretagne 1.763e+06
## factor(ageClass)54.5:factor(reg_name)Bretagne 1.821e+06
## factor(ageClass)64.5:factor(reg_name)Bretagne 1.846e+06
## factor(ageClass)74.5:factor(reg_name)Bretagne 2.464e+06
## factor(ageClass)84.5:factor(reg_name)Bretagne 2.585e+06
## factor(ageClass)94.5:factor(reg_name)Bretagne 3.241e+06
## factor(ageClass)14.5:factor(reg_name)Centre-Val de Loire 2.314e+06
## factor(ageClass)24.5:factor(reg_name)Centre-Val de Loire 2.304e+06
## factor(ageClass)34.5:factor(reg_name)Centre-Val de Loire 2.250e+06
## factor(ageClass)44.5:factor(reg_name)Centre-Val de Loire 2.238e+06
## factor(ageClass)54.5:factor(reg_name)Centre-Val de Loire 2.088e+06
## factor(ageClass)64.5:factor(reg_name)Centre-Val de Loire 2.110e+06
## factor(ageClass)74.5:factor(reg_name)Centre-Val de Loire 2.511e+06
## factor(ageClass)84.5:factor(reg_name)Centre-Val de Loire 2.654e+06
## factor(ageClass)94.5:factor(reg_name)Centre-Val de Loire 3.081e+06
## factor(ageClass)14.5:factor(reg_name)Corse 6.856e+06
## factor(ageClass)24.5:factor(reg_name)Corse 6.598e+06
## factor(ageClass)34.5:factor(reg_name)Corse 6.296e+06
## factor(ageClass)44.5:factor(reg_name)Corse 6.581e+06
## factor(ageClass)54.5:factor(reg_name)Corse 6.497e+06
## factor(ageClass)64.5:factor(reg_name)Corse 6.577e+06
## factor(ageClass)74.5:factor(reg_name)Corse 7.057e+06
## factor(ageClass)84.5:factor(reg_name)Corse 7.705e+06
## factor(ageClass)94.5:factor(reg_name)Corse 1.014e+07
## factor(ageClass)14.5:factor(reg_name)Grand Est 1.487e+06
## factor(ageClass)24.5:factor(reg_name)Grand Est 1.478e+06
## factor(ageClass)34.5:factor(reg_name)Grand Est 1.398e+06
## factor(ageClass)44.5:factor(reg_name)Grand Est 1.277e+06
## factor(ageClass)54.5:factor(reg_name)Grand Est 1.355e+06
## factor(ageClass)64.5:factor(reg_name)Grand Est 1.388e+06
## factor(ageClass)74.5:factor(reg_name)Grand Est 1.706e+06
## factor(ageClass)84.5:factor(reg_name)Grand Est 1.843e+06
## factor(ageClass)94.5:factor(reg_name)Grand Est 2.347e+06
## factor(ageClass)14.5:factor(reg_name)Guadeloupe 1.902e+07
## factor(ageClass)24.5:factor(reg_name)Guadeloupe 1.911e+07
## factor(ageClass)34.5:factor(reg_name)Guadeloupe 1.899e+07
## factor(ageClass)44.5:factor(reg_name)Guadeloupe 1.880e+07
## factor(ageClass)54.5:factor(reg_name)Guadeloupe 1.869e+07
## factor(ageClass)64.5:factor(reg_name)Guadeloupe 1.905e+07
## factor(ageClass)74.5:factor(reg_name)Guadeloupe 2.291e+07
## factor(ageClass)84.5:factor(reg_name)Guadeloupe 2.463e+07
## factor(ageClass)94.5:factor(reg_name)Guadeloupe 6.233e+07
## factor(ageClass)14.5:factor(reg_name)Guyane 2.589e+07
## factor(ageClass)24.5:factor(reg_name)Guyane 2.643e+07
## factor(ageClass)34.5:factor(reg_name)Guyane 2.730e+07
## factor(ageClass)44.5:factor(reg_name)Guyane 2.573e+07
## factor(ageClass)54.5:factor(reg_name)Guyane 2.667e+07
## factor(ageClass)64.5:factor(reg_name)Guyane 3.055e+07
## factor(ageClass)74.5:factor(reg_name)Guyane 9.918e+07
## factor(ageClass)84.5:factor(reg_name)Guyane 3.812e+07
## factor(ageClass)94.5:factor(reg_name)Guyane NA
## factor(ageClass)14.5:factor(reg_name)Hauts-de-France 1.169e+06
## factor(ageClass)24.5:factor(reg_name)Hauts-de-France 1.165e+06
## factor(ageClass)34.5:factor(reg_name)Hauts-de-France 1.136e+06
## factor(ageClass)44.5:factor(reg_name)Hauts-de-France 1.133e+06
## factor(ageClass)54.5:factor(reg_name)Hauts-de-France 1.230e+06
## factor(ageClass)64.5:factor(reg_name)Hauts-de-France 1.195e+06
## factor(ageClass)74.5:factor(reg_name)Hauts-de-France 1.421e+06
## factor(ageClass)84.5:factor(reg_name)Hauts-de-France 1.564e+06
## factor(ageClass)94.5:factor(reg_name)Hauts-de-France 2.040e+06
## factor(ageClass)14.5:factor(reg_name)ÃŽle-de-France 1.115e+06
## factor(ageClass)24.5:factor(reg_name)ÃŽle-de-France 1.111e+06
## factor(ageClass)34.5:factor(reg_name)ÃŽle-de-France 1.047e+06
## factor(ageClass)44.5:factor(reg_name)ÃŽle-de-France 1.049e+06
## factor(ageClass)54.5:factor(reg_name)ÃŽle-de-France 1.152e+06
## factor(ageClass)64.5:factor(reg_name)ÃŽle-de-France 1.210e+06
## factor(ageClass)74.5:factor(reg_name)ÃŽle-de-France 1.351e+06
## factor(ageClass)84.5:factor(reg_name)ÃŽle-de-France 1.490e+06
## factor(ageClass)94.5:factor(reg_name)ÃŽle-de-France 1.935e+06
## factor(ageClass)14.5:factor(reg_name)La Réunion 3.814e+06
## factor(ageClass)24.5:factor(reg_name)La Réunion 3.813e+06
## factor(ageClass)34.5:factor(reg_name)La Réunion 4.360e+06
## factor(ageClass)44.5:factor(reg_name)La Réunion 4.392e+06
## factor(ageClass)54.5:factor(reg_name)La Réunion 4.441e+06
## factor(ageClass)64.5:factor(reg_name)La Réunion 4.983e+06
## factor(ageClass)74.5:factor(reg_name)La Réunion 5.969e+06
## factor(ageClass)84.5:factor(reg_name)La Réunion 8.827e+06
## factor(ageClass)94.5:factor(reg_name)La Réunion 3.242e+07
## factor(ageClass)14.5:factor(reg_name)Martinique 1.874e+07
## factor(ageClass)24.5:factor(reg_name)Martinique 1.768e+07
## factor(ageClass)34.5:factor(reg_name)Martinique 1.683e+07
## factor(ageClass)44.5:factor(reg_name)Martinique 1.683e+07
## factor(ageClass)54.5:factor(reg_name)Martinique 1.756e+07
## factor(ageClass)64.5:factor(reg_name)Martinique 1.815e+07
## factor(ageClass)74.5:factor(reg_name)Martinique 1.940e+07
## factor(ageClass)84.5:factor(reg_name)Martinique 1.930e+07
## factor(ageClass)94.5:factor(reg_name)Martinique 2.264e+07
## factor(ageClass)14.5:factor(reg_name)Mayotte 1.425e+08
## factor(ageClass)24.5:factor(reg_name)Mayotte 1.420e+08
## factor(ageClass)34.5:factor(reg_name)Mayotte 1.420e+08
## factor(ageClass)44.5:factor(reg_name)Mayotte 1.420e+08
## factor(ageClass)54.5:factor(reg_name)Mayotte 1.420e+08
## factor(ageClass)64.5:factor(reg_name)Mayotte 1.418e+08
## factor(ageClass)74.5:factor(reg_name)Mayotte 1.429e+08
## factor(ageClass)84.5:factor(reg_name)Mayotte 1.487e+08
## factor(ageClass)94.5:factor(reg_name)Mayotte NA
## factor(ageClass)14.5:factor(reg_name)Normandie 1.890e+06
## factor(ageClass)24.5:factor(reg_name)Normandie 1.904e+06
## factor(ageClass)34.5:factor(reg_name)Normandie 1.641e+06
## factor(ageClass)44.5:factor(reg_name)Normandie 1.641e+06
## factor(ageClass)54.5:factor(reg_name)Normandie 1.855e+06
## factor(ageClass)64.5:factor(reg_name)Normandie 1.919e+06
## factor(ageClass)74.5:factor(reg_name)Normandie 2.114e+06
## factor(ageClass)84.5:factor(reg_name)Normandie 2.303e+06
## factor(ageClass)94.5:factor(reg_name)Normandie 2.917e+06
## factor(ageClass)14.5:factor(reg_name)Nouvelle-Aquitaine 1.772e+06
## factor(ageClass)24.5:factor(reg_name)Nouvelle-Aquitaine 1.763e+06
## factor(ageClass)34.5:factor(reg_name)Nouvelle-Aquitaine 1.535e+06
## factor(ageClass)44.5:factor(reg_name)Nouvelle-Aquitaine 1.535e+06
## factor(ageClass)54.5:factor(reg_name)Nouvelle-Aquitaine 1.755e+06
## factor(ageClass)64.5:factor(reg_name)Nouvelle-Aquitaine 1.823e+06
## factor(ageClass)74.5:factor(reg_name)Nouvelle-Aquitaine 2.021e+06
## factor(ageClass)84.5:factor(reg_name)Nouvelle-Aquitaine 2.178e+06
## factor(ageClass)94.5:factor(reg_name)Nouvelle-Aquitaine 2.626e+06
## factor(ageClass)14.5:factor(reg_name)Occitanie 1.596e+06
## factor(ageClass)24.5:factor(reg_name)Occitanie 1.582e+06
## factor(ageClass)34.5:factor(reg_name)Occitanie 1.390e+06
## factor(ageClass)44.5:factor(reg_name)Occitanie 1.390e+06
## factor(ageClass)54.5:factor(reg_name)Occitanie 1.580e+06
## factor(ageClass)64.5:factor(reg_name)Occitanie 1.607e+06
## factor(ageClass)74.5:factor(reg_name)Occitanie 1.782e+06
## factor(ageClass)84.5:factor(reg_name)Occitanie 1.886e+06
## factor(ageClass)94.5:factor(reg_name)Occitanie 2.222e+06
## factor(ageClass)14.5:factor(reg_name)Pays de la Loire 1.801e+06
## factor(ageClass)24.5:factor(reg_name)Pays de la Loire 1.799e+06
## factor(ageClass)34.5:factor(reg_name)Pays de la Loire 1.576e+06
## factor(ageClass)44.5:factor(reg_name)Pays de la Loire 1.576e+06
## factor(ageClass)54.5:factor(reg_name)Pays de la Loire 1.815e+06
## factor(ageClass)64.5:factor(reg_name)Pays de la Loire 1.882e+06
## factor(ageClass)74.5:factor(reg_name)Pays de la Loire 2.066e+06
## factor(ageClass)84.5:factor(reg_name)Pays de la Loire 2.213e+06
## factor(ageClass)94.5:factor(reg_name)Pays de la Loire 2.657e+06
## factor(ageClass)14.5:factor(reg_name)Provence-Alpes-Côte d'Azur 1.439e+06
## factor(ageClass)24.5:factor(reg_name)Provence-Alpes-Côte d'Azur 1.425e+06
## factor(ageClass)34.5:factor(reg_name)Provence-Alpes-Côte d'Azur 1.253e+06
## factor(ageClass)44.5:factor(reg_name)Provence-Alpes-Côte d'Azur 1.253e+06
## factor(ageClass)54.5:factor(reg_name)Provence-Alpes-Côte d'Azur 1.364e+06
## factor(ageClass)64.5:factor(reg_name)Provence-Alpes-Côte d'Azur 1.457e+06
## factor(ageClass)74.5:factor(reg_name)Provence-Alpes-Côte d'Azur 1.579e+06
## factor(ageClass)84.5:factor(reg_name)Provence-Alpes-Côte d'Azur 1.706e+06
## factor(ageClass)94.5:factor(reg_name)Provence-Alpes-Côte d'Azur 2.063e+06
## time:factor(ageClass)14.5:factor(reg_name)Bourgogne-Franche-Comté 6.207e+04
## time:factor(ageClass)24.5:factor(reg_name)Bourgogne-Franche-Comté 6.217e+04
## time:factor(ageClass)34.5:factor(reg_name)Bourgogne-Franche-Comté 6.738e+04
## time:factor(ageClass)44.5:factor(reg_name)Bourgogne-Franche-Comté 6.664e+04
## time:factor(ageClass)54.5:factor(reg_name)Bourgogne-Franche-Comté 6.803e+04
## time:factor(ageClass)64.5:factor(reg_name)Bourgogne-Franche-Comté 7.011e+04
## time:factor(ageClass)74.5:factor(reg_name)Bourgogne-Franche-Comté 7.752e+04
## time:factor(ageClass)84.5:factor(reg_name)Bourgogne-Franche-Comté 8.505e+04
## time:factor(ageClass)94.5:factor(reg_name)Bourgogne-Franche-Comté 1.090e+05
## time:factor(ageClass)14.5:factor(reg_name)Bretagne 6.899e+04
## time:factor(ageClass)24.5:factor(reg_name)Bretagne 6.912e+04
## time:factor(ageClass)34.5:factor(reg_name)Bretagne 5.917e+04
## time:factor(ageClass)44.5:factor(reg_name)Bretagne 5.917e+04
## time:factor(ageClass)54.5:factor(reg_name)Bretagne 6.026e+04
## time:factor(ageClass)64.5:factor(reg_name)Bretagne 6.058e+04
## time:factor(ageClass)74.5:factor(reg_name)Bretagne 8.648e+04
## time:factor(ageClass)84.5:factor(reg_name)Bretagne 9.454e+04
## time:factor(ageClass)94.5:factor(reg_name)Bretagne 1.328e+05
## time:factor(ageClass)14.5:factor(reg_name)Centre-Val de Loire 7.628e+04
## time:factor(ageClass)24.5:factor(reg_name)Centre-Val de Loire 7.641e+04
## time:factor(ageClass)34.5:factor(reg_name)Centre-Val de Loire 7.424e+04
## time:factor(ageClass)44.5:factor(reg_name)Centre-Val de Loire 7.396e+04
## time:factor(ageClass)54.5:factor(reg_name)Centre-Val de Loire 6.757e+04
## time:factor(ageClass)64.5:factor(reg_name)Centre-Val de Loire 6.786e+04
## time:factor(ageClass)74.5:factor(reg_name)Centre-Val de Loire 8.489e+04
## time:factor(ageClass)84.5:factor(reg_name)Centre-Val de Loire 9.317e+04
## time:factor(ageClass)94.5:factor(reg_name)Centre-Val de Loire 1.150e+05
## time:factor(ageClass)14.5:factor(reg_name)Corse 2.417e+05
## time:factor(ageClass)24.5:factor(reg_name)Corse 2.340e+05
## time:factor(ageClass)34.5:factor(reg_name)Corse 2.126e+05
## time:factor(ageClass)44.5:factor(reg_name)Corse 2.323e+05
## time:factor(ageClass)54.5:factor(reg_name)Corse 2.307e+05
## time:factor(ageClass)64.5:factor(reg_name)Corse 2.332e+05
## time:factor(ageClass)74.5:factor(reg_name)Corse 2.503e+05
## time:factor(ageClass)84.5:factor(reg_name)Corse 2.852e+05
## time:factor(ageClass)94.5:factor(reg_name)Corse 3.745e+05
## time:factor(ageClass)14.5:factor(reg_name)Grand Est 5.025e+04
## time:factor(ageClass)24.5:factor(reg_name)Grand Est 5.053e+04
## time:factor(ageClass)34.5:factor(reg_name)Grand Est 4.749e+04
## time:factor(ageClass)44.5:factor(reg_name)Grand Est 4.435e+04
## time:factor(ageClass)54.5:factor(reg_name)Grand Est 4.444e+04
## time:factor(ageClass)64.5:factor(reg_name)Grand Est 4.488e+04
## time:factor(ageClass)74.5:factor(reg_name)Grand Est 5.917e+04
## time:factor(ageClass)84.5:factor(reg_name)Grand Est 6.588e+04
## time:factor(ageClass)94.5:factor(reg_name)Grand Est 8.766e+04
## time:factor(ageClass)14.5:factor(reg_name)Guadeloupe 6.790e+05
## time:factor(ageClass)24.5:factor(reg_name)Guadeloupe 6.651e+05
## time:factor(ageClass)34.5:factor(reg_name)Guadeloupe 6.603e+05
## time:factor(ageClass)44.5:factor(reg_name)Guadeloupe 6.531e+05
## time:factor(ageClass)54.5:factor(reg_name)Guadeloupe 6.475e+05
## time:factor(ageClass)64.5:factor(reg_name)Guadeloupe 6.602e+05
## time:factor(ageClass)74.5:factor(reg_name)Guadeloupe 7.736e+05
## time:factor(ageClass)84.5:factor(reg_name)Guadeloupe 8.251e+05
## time:factor(ageClass)94.5:factor(reg_name)Guadeloupe 1.832e+06
## time:factor(ageClass)14.5:factor(reg_name)Guyane 8.296e+05
## time:factor(ageClass)24.5:factor(reg_name)Guyane 8.306e+05
## time:factor(ageClass)34.5:factor(reg_name)Guyane 8.464e+05
## time:factor(ageClass)44.5:factor(reg_name)Guyane 8.058e+05
## time:factor(ageClass)54.5:factor(reg_name)Guyane 8.288e+05
## time:factor(ageClass)64.5:factor(reg_name)Guyane 9.222e+05
## time:factor(ageClass)74.5:factor(reg_name)Guyane 2.625e+06
## time:factor(ageClass)84.5:factor(reg_name)Guyane 1.203e+06
## time:factor(ageClass)94.5:factor(reg_name)Guyane NA
## time:factor(ageClass)14.5:factor(reg_name)Hauts-de-France 3.964e+04
## time:factor(ageClass)24.5:factor(reg_name)Hauts-de-France 3.979e+04
## time:factor(ageClass)34.5:factor(reg_name)Hauts-de-France 3.887e+04
## time:factor(ageClass)44.5:factor(reg_name)Hauts-de-France 3.882e+04
## time:factor(ageClass)54.5:factor(reg_name)Hauts-de-France 4.080e+04
## time:factor(ageClass)64.5:factor(reg_name)Hauts-de-France 3.952e+04
## time:factor(ageClass)74.5:factor(reg_name)Hauts-de-France 5.023e+04
## time:factor(ageClass)84.5:factor(reg_name)Hauts-de-France 5.691e+04
## time:factor(ageClass)94.5:factor(reg_name)Hauts-de-France 7.825e+04
## time:factor(ageClass)14.5:factor(reg_name)ÃŽle-de-France 3.792e+04
## time:factor(ageClass)24.5:factor(reg_name)ÃŽle-de-France 3.808e+04
## time:factor(ageClass)34.5:factor(reg_name)ÃŽle-de-France 3.589e+04
## time:factor(ageClass)44.5:factor(reg_name)ÃŽle-de-France 3.593e+04
## time:factor(ageClass)54.5:factor(reg_name)ÃŽle-de-France 3.808e+04
## time:factor(ageClass)64.5:factor(reg_name)ÃŽle-de-France 3.941e+04
## time:factor(ageClass)74.5:factor(reg_name)ÃŽle-de-France 4.782e+04
## time:factor(ageClass)84.5:factor(reg_name)ÃŽle-de-France 5.434e+04
## time:factor(ageClass)94.5:factor(reg_name)ÃŽle-de-France 7.406e+04
## time:factor(ageClass)14.5:factor(reg_name)La Réunion 1.355e+05
## time:factor(ageClass)24.5:factor(reg_name)La Réunion 1.355e+05
## time:factor(ageClass)34.5:factor(reg_name)La Réunion 1.567e+05
## time:factor(ageClass)44.5:factor(reg_name)La Réunion 1.586e+05
## time:factor(ageClass)54.5:factor(reg_name)La Réunion 1.598e+05
## time:factor(ageClass)64.5:factor(reg_name)La Réunion 1.775e+05
## time:factor(ageClass)74.5:factor(reg_name)La Réunion 2.152e+05
## time:factor(ageClass)84.5:factor(reg_name)La Réunion 3.167e+05
## time:factor(ageClass)94.5:factor(reg_name)La Réunion 1.017e+06
## time:factor(ageClass)14.5:factor(reg_name)Martinique 5.937e+05
## time:factor(ageClass)24.5:factor(reg_name)Martinique 5.697e+05
## time:factor(ageClass)34.5:factor(reg_name)Martinique 5.430e+05
## time:factor(ageClass)44.5:factor(reg_name)Martinique 5.430e+05
## time:factor(ageClass)54.5:factor(reg_name)Martinique 5.642e+05
## time:factor(ageClass)64.5:factor(reg_name)Martinique 5.782e+05
## time:factor(ageClass)74.5:factor(reg_name)Martinique 6.113e+05
## time:factor(ageClass)84.5:factor(reg_name)Martinique 6.355e+05
## time:factor(ageClass)94.5:factor(reg_name)Martinique 8.365e+05
## time:factor(ageClass)14.5:factor(reg_name)Mayotte 1.275e+07
## time:factor(ageClass)24.5:factor(reg_name)Mayotte 1.269e+07
## time:factor(ageClass)34.5:factor(reg_name)Mayotte 1.269e+07
## time:factor(ageClass)44.5:factor(reg_name)Mayotte 1.269e+07
## time:factor(ageClass)54.5:factor(reg_name)Mayotte 1.269e+07
## time:factor(ageClass)64.5:factor(reg_name)Mayotte 1.268e+07
## time:factor(ageClass)74.5:factor(reg_name)Mayotte 1.277e+07
## time:factor(ageClass)84.5:factor(reg_name)Mayotte 1.279e+07
## time:factor(ageClass)94.5:factor(reg_name)Mayotte NA
## time:factor(ageClass)14.5:factor(reg_name)Normandie 6.308e+04
## time:factor(ageClass)24.5:factor(reg_name)Normandie 6.412e+04
## time:factor(ageClass)34.5:factor(reg_name)Normandie 5.441e+04
## time:factor(ageClass)44.5:factor(reg_name)Normandie 5.441e+04
## time:factor(ageClass)54.5:factor(reg_name)Normandie 5.841e+04
## time:factor(ageClass)64.5:factor(reg_name)Normandie 5.950e+04
## time:factor(ageClass)74.5:factor(reg_name)Normandie 7.300e+04
## time:factor(ageClass)84.5:factor(reg_name)Normandie 8.092e+04
## time:factor(ageClass)94.5:factor(reg_name)Normandie 1.058e+05
## time:factor(ageClass)14.5:factor(reg_name)Nouvelle-Aquitaine 6.000e+04
## time:factor(ageClass)24.5:factor(reg_name)Nouvelle-Aquitaine 6.022e+04
## time:factor(ageClass)34.5:factor(reg_name)Nouvelle-Aquitaine 5.209e+04
## time:factor(ageClass)44.5:factor(reg_name)Nouvelle-Aquitaine 5.209e+04
## time:factor(ageClass)54.5:factor(reg_name)Nouvelle-Aquitaine 5.625e+04
## time:factor(ageClass)64.5:factor(reg_name)Nouvelle-Aquitaine 5.727e+04
## time:factor(ageClass)74.5:factor(reg_name)Nouvelle-Aquitaine 7.081e+04
## time:factor(ageClass)84.5:factor(reg_name)Nouvelle-Aquitaine 7.904e+04
## time:factor(ageClass)94.5:factor(reg_name)Nouvelle-Aquitaine 9.915e+04
## time:factor(ageClass)14.5:factor(reg_name)Occitanie 5.375e+04
## time:factor(ageClass)24.5:factor(reg_name)Occitanie 5.369e+04
## time:factor(ageClass)34.5:factor(reg_name)Occitanie 4.675e+04
## time:factor(ageClass)44.5:factor(reg_name)Occitanie 4.675e+04
## time:factor(ageClass)54.5:factor(reg_name)Occitanie 5.246e+04
## time:factor(ageClass)64.5:factor(reg_name)Occitanie 5.064e+04
## time:factor(ageClass)74.5:factor(reg_name)Occitanie 6.148e+04
## time:factor(ageClass)84.5:factor(reg_name)Occitanie 6.661e+04
## time:factor(ageClass)94.5:factor(reg_name)Occitanie 8.347e+04
## time:factor(ageClass)14.5:factor(reg_name)Pays de la Loire 5.959e+04
## time:factor(ageClass)24.5:factor(reg_name)Pays de la Loire 6.003e+04
## time:factor(ageClass)34.5:factor(reg_name)Pays de la Loire 5.173e+04
## time:factor(ageClass)44.5:factor(reg_name)Pays de la Loire 5.173e+04
## time:factor(ageClass)54.5:factor(reg_name)Pays de la Loire 5.972e+04
## time:factor(ageClass)64.5:factor(reg_name)Pays de la Loire 5.742e+04
## time:factor(ageClass)74.5:factor(reg_name)Pays de la Loire 7.090e+04
## time:factor(ageClass)84.5:factor(reg_name)Pays de la Loire 7.868e+04
## time:factor(ageClass)94.5:factor(reg_name)Pays de la Loire 1.004e+05
## time:factor(ageClass)14.5:factor(reg_name)Provence-Alpes-Côte d'Azur 4.960e+04
## time:factor(ageClass)24.5:factor(reg_name)Provence-Alpes-Côte d'Azur 4.951e+04
## time:factor(ageClass)34.5:factor(reg_name)Provence-Alpes-Côte d'Azur 4.308e+04
## time:factor(ageClass)44.5:factor(reg_name)Provence-Alpes-Côte d'Azur 4.308e+04
## time:factor(ageClass)54.5:factor(reg_name)Provence-Alpes-Côte d'Azur 4.514e+04
## time:factor(ageClass)64.5:factor(reg_name)Provence-Alpes-Côte d'Azur 4.664e+04
## time:factor(ageClass)74.5:factor(reg_name)Provence-Alpes-Côte d'Azur 5.619e+04
## time:factor(ageClass)84.5:factor(reg_name)Provence-Alpes-Côte d'Azur 6.253e+04
## time:factor(ageClass)94.5:factor(reg_name)Provence-Alpes-Côte d'Azur 8.114e+04
## z value
## (Intercept) 1.034e+09
## time 2.134e+09
## factor(ageClass)14.5 1.899e+09
## factor(ageClass)24.5 6.399e+08
## factor(ageClass)34.5 -1.034e+09
## factor(ageClass)44.5 -1.034e+09
## factor(ageClass)54.5 3.326e+09
## factor(ageClass)64.5 3.073e+09
## factor(ageClass)74.5 8.886e+08
## factor(ageClass)84.5 -4.666e+09
## factor(ageClass)94.5 1.737e+08
## factor(reg_name)Bourgogne-Franche-Comté 6.483e+08
## factor(reg_name)Bretagne 2.213e+08
## factor(reg_name)Centre-Val de Loire -5.232e+07
## factor(reg_name)Corse 3.452e+08
## factor(reg_name)Grand Est -1.882e+09
## factor(reg_name)Guadeloupe 9.717e+07
## factor(reg_name)Guyane -1.924e+08
## factor(reg_name)Hauts-de-France 1.492e+09
## factor(reg_name)ÃŽle-de-France 2.876e+09
## factor(reg_name)La Réunion 9.985e+05
## factor(reg_name)Martinique -6.140e+06
## factor(reg_name)Mayotte -7.787e+06
## factor(reg_name)Normandie -3.854e+08
## factor(reg_name)Nouvelle-Aquitaine -2.569e+08
## factor(reg_name)Occitanie -9.347e+07
## factor(reg_name)Pays de la Loire -6.250e+08
## factor(reg_name)Provence-Alpes-Côte d'Azur 2.663e+08
## time:factor(ageClass)14.5 -1.419e+09
## time:factor(ageClass)24.5 1.469e+08
## time:factor(ageClass)34.5 -2.134e+09
## time:factor(ageClass)44.5 -2.134e+09
## time:factor(ageClass)54.5 -5.265e+09
## time:factor(ageClass)64.5 -4.928e+09
## time:factor(ageClass)74.5 -5.327e+08
## time:factor(ageClass)84.5 3.287e+09
## time:factor(ageClass)94.5 -3.563e+08
## time:factor(reg_name)Bourgogne-Franche-Comté -6.347e+08
## time:factor(reg_name)Bretagne -2.271e+08
## time:factor(reg_name)Centre-Val de Loire -3.271e+08
## time:factor(reg_name)Corse -3.999e+08
## time:factor(reg_name)Grand Est 4.632e+08
## time:factor(reg_name)Guadeloupe -1.407e+08
## time:factor(reg_name)Guyane 9.607e+07
## time:factor(reg_name)Hauts-de-France -1.527e+09
## time:factor(reg_name)ÃŽle-de-France -2.617e+09
## time:factor(reg_name)La Réunion -6.754e+08
## time:factor(reg_name)Martinique -3.834e+07
## time:factor(reg_name)Mayotte -3.071e+06
## time:factor(reg_name)Normandie -1.495e+08
## time:factor(reg_name)Nouvelle-Aquitaine 1.263e+08
## time:factor(reg_name)Occitanie -2.431e+08
## time:factor(reg_name)Pays de la Loire 4.809e+07
## time:factor(reg_name)Provence-Alpes-Côte d'Azur -8.067e+07
## factor(ageClass)14.5:factor(reg_name)Bourgogne-Franche-Comté -2.027e+09
## factor(ageClass)24.5:factor(reg_name)Bourgogne-Franche-Comté -1.395e+09
## factor(ageClass)34.5:factor(reg_name)Bourgogne-Franche-Comté -2.050e+09
## factor(ageClass)44.5:factor(reg_name)Bourgogne-Franche-Comté -1.146e+09
## factor(ageClass)54.5:factor(reg_name)Bourgogne-Franche-Comté -4.011e+09
## factor(ageClass)64.5:factor(reg_name)Bourgogne-Franche-Comté -3.891e+09
## factor(ageClass)74.5:factor(reg_name)Bourgogne-Franche-Comté -7.773e+08
## factor(ageClass)84.5:factor(reg_name)Bourgogne-Franche-Comté 1.767e+09
## factor(ageClass)94.5:factor(reg_name)Bourgogne-Franche-Comté -3.475e+08
## factor(ageClass)14.5:factor(reg_name)Bretagne 6.924e+07
## factor(ageClass)24.5:factor(reg_name)Bretagne 9.128e+08
## factor(ageClass)34.5:factor(reg_name)Bretagne -2.213e+08
## factor(ageClass)44.5:factor(reg_name)Bretagne -2.213e+08
## factor(ageClass)54.5:factor(reg_name)Bretagne -2.388e+09
## factor(ageClass)64.5:factor(reg_name)Bretagne -2.307e+09
## factor(ageClass)74.5:factor(reg_name)Bretagne 4.315e+08
## factor(ageClass)84.5:factor(reg_name)Bretagne 2.515e+09
## factor(ageClass)94.5:factor(reg_name)Bretagne -5.529e+08
## factor(ageClass)14.5:factor(reg_name)Centre-Val de Loire 3.522e+08
## factor(ageClass)24.5:factor(reg_name)Centre-Val de Loire 7.280e+08
## factor(ageClass)34.5:factor(reg_name)Centre-Val de Loire -9.903e+08
## factor(ageClass)44.5:factor(reg_name)Centre-Val de Loire -3.417e+08
## factor(ageClass)54.5:factor(reg_name)Centre-Val de Loire -1.845e+09
## factor(ageClass)64.5:factor(reg_name)Centre-Val de Loire -1.783e+09
## factor(ageClass)74.5:factor(reg_name)Centre-Val de Loire 2.800e+08
## factor(ageClass)84.5:factor(reg_name)Centre-Val de Loire 2.340e+09
## factor(ageClass)94.5:factor(reg_name)Centre-Val de Loire -1.170e+09
## factor(ageClass)14.5:factor(reg_name)Corse -2.193e+08
## factor(ageClass)24.5:factor(reg_name)Corse 1.305e+08
## factor(ageClass)34.5:factor(reg_name)Corse 5.112e+08
## factor(ageClass)44.5:factor(reg_name)Corse 3.005e+08
## factor(ageClass)54.5:factor(reg_name)Corse -3.319e+08
## factor(ageClass)64.5:factor(reg_name)Corse -2.991e+08
## factor(ageClass)74.5:factor(reg_name)Corse -3.622e+08
## factor(ageClass)84.5:factor(reg_name)Corse 3.702e+08
## factor(ageClass)94.5:factor(reg_name)Corse 6.558e+06
## factor(ageClass)14.5:factor(reg_name)Grand Est 1.216e+09
## factor(ageClass)24.5:factor(reg_name)Grand Est 2.266e+09
## factor(ageClass)34.5:factor(reg_name)Grand Est -4.252e+08
## factor(ageClass)44.5:factor(reg_name)Grand Est 2.091e+09
## factor(ageClass)54.5:factor(reg_name)Grand Est -1.149e+09
## factor(ageClass)64.5:factor(reg_name)Grand Est -1.056e+09
## factor(ageClass)74.5:factor(reg_name)Grand Est 1.584e+09
## factor(ageClass)84.5:factor(reg_name)Grand Est 4.460e+09
## factor(ageClass)94.5:factor(reg_name)Grand Est -6.338e+08
## factor(ageClass)14.5:factor(reg_name)Guadeloupe -6.761e+07
## factor(ageClass)24.5:factor(reg_name)Guadeloupe 2.615e+07
## factor(ageClass)34.5:factor(reg_name)Guadeloupe 1.562e+08
## factor(ageClass)44.5:factor(reg_name)Guadeloupe 1.656e+08
## factor(ageClass)54.5:factor(reg_name)Guadeloupe -1.797e+08
## factor(ageClass)64.5:factor(reg_name)Guadeloupe -1.771e+08
## factor(ageClass)74.5:factor(reg_name)Guadeloupe -2.144e+07
## factor(ageClass)84.5:factor(reg_name)Guadeloupe 2.804e+08
## factor(ageClass)94.5:factor(reg_name)Guadeloupe 2.628e+07
## factor(ageClass)14.5:factor(reg_name)Guyane -1.108e+08
## factor(ageClass)24.5:factor(reg_name)Guyane 9.281e+07
## factor(ageClass)34.5:factor(reg_name)Guyane 1.220e+08
## factor(ageClass)44.5:factor(reg_name)Guyane 1.908e+08
## factor(ageClass)54.5:factor(reg_name)Guyane -1.860e+07
## factor(ageClass)64.5:factor(reg_name)Guyane -1.481e+08
## factor(ageClass)74.5:factor(reg_name)Guyane 4.530e+06
## factor(ageClass)84.5:factor(reg_name)Guyane 1.273e+08
## factor(ageClass)94.5:factor(reg_name)Guyane NA
## factor(ageClass)14.5:factor(reg_name)Hauts-de-France -3.626e+09
## factor(ageClass)24.5:factor(reg_name)Hauts-de-France -2.606e+09
## factor(ageClass)34.5:factor(reg_name)Hauts-de-France -3.003e+09
## factor(ageClass)44.5:factor(reg_name)Hauts-de-France -1.681e+09
## factor(ageClass)54.5:factor(reg_name)Hauts-de-France -6.060e+09
## factor(ageClass)64.5:factor(reg_name)Hauts-de-France -4.508e+09
## factor(ageClass)74.5:factor(reg_name)Hauts-de-France -1.950e+08
## factor(ageClass)84.5:factor(reg_name)Hauts-de-France 3.269e+09
## factor(ageClass)94.5:factor(reg_name)Hauts-de-France -5.714e+07
## factor(ageClass)14.5:factor(reg_name)ÃŽle-de-France -4.966e+09
## factor(ageClass)24.5:factor(reg_name)ÃŽle-de-France -3.902e+09
## factor(ageClass)34.5:factor(reg_name)ÃŽle-de-France -3.272e+09
## factor(ageClass)44.5:factor(reg_name)ÃŽle-de-France -3.534e+09
## factor(ageClass)54.5:factor(reg_name)ÃŽle-de-France -7.550e+09
## factor(ageClass)64.5:factor(reg_name)ÃŽle-de-France -6.152e+09
## factor(ageClass)74.5:factor(reg_name)ÃŽle-de-France -1.545e+09
## factor(ageClass)84.5:factor(reg_name)ÃŽle-de-France 2.469e+09
## factor(ageClass)94.5:factor(reg_name)ÃŽle-de-France -8.131e+08
## factor(ageClass)14.5:factor(reg_name)La Réunion -6.966e+08
## factor(ageClass)24.5:factor(reg_name)La Réunion -3.817e+08
## factor(ageClass)34.5:factor(reg_name)La Réunion -6.550e+08
## factor(ageClass)44.5:factor(reg_name)La Réunion -6.245e+08
## factor(ageClass)54.5:factor(reg_name)La Réunion -1.494e+09
## factor(ageClass)64.5:factor(reg_name)La Réunion -1.311e+09
## factor(ageClass)74.5:factor(reg_name)La Réunion -2.986e+08
## factor(ageClass)84.5:factor(reg_name)La Réunion 5.309e+08
## factor(ageClass)94.5:factor(reg_name)La Réunion -1.269e+08
## factor(ageClass)14.5:factor(reg_name)Martinique 1.445e+08
## factor(ageClass)24.5:factor(reg_name)Martinique 2.053e+08
## factor(ageClass)34.5:factor(reg_name)Martinique 6.204e+06
## factor(ageClass)44.5:factor(reg_name)Martinique 6.140e+06
## factor(ageClass)54.5:factor(reg_name)Martinique -5.311e+06
## factor(ageClass)64.5:factor(reg_name)Martinique 2.054e+06
## factor(ageClass)74.5:factor(reg_name)Martinique -8.875e+07
## factor(ageClass)84.5:factor(reg_name)Martinique 3.801e+08
## factor(ageClass)94.5:factor(reg_name)Martinique -5.351e+07
## factor(ageClass)14.5:factor(reg_name)Mayotte -3.823e+07
## factor(ageClass)24.5:factor(reg_name)Mayotte -3.216e+07
## factor(ageClass)34.5:factor(reg_name)Mayotte -2.161e+07
## factor(ageClass)44.5:factor(reg_name)Mayotte -2.394e+07
## factor(ageClass)54.5:factor(reg_name)Mayotte -5.281e+07
## factor(ageClass)64.5:factor(reg_name)Mayotte -4.119e+07
## factor(ageClass)74.5:factor(reg_name)Mayotte -2.574e+07
## factor(ageClass)84.5:factor(reg_name)Mayotte 8.717e+06
## factor(ageClass)94.5:factor(reg_name)Mayotte NA
## factor(ageClass)14.5:factor(reg_name)Normandie 6.719e+08
## factor(ageClass)24.5:factor(reg_name)Normandie 1.353e+09
## factor(ageClass)34.5:factor(reg_name)Normandie 3.854e+08
## factor(ageClass)44.5:factor(reg_name)Normandie 3.854e+08
## factor(ageClass)54.5:factor(reg_name)Normandie 5.717e+08
## factor(ageClass)64.5:factor(reg_name)Normandie 4.508e+08
## factor(ageClass)74.5:factor(reg_name)Normandie -9.852e+08
## factor(ageClass)84.5:factor(reg_name)Normandie 3.110e+09
## factor(ageClass)94.5:factor(reg_name)Normandie -7.628e+08
## factor(ageClass)14.5:factor(reg_name)Nouvelle-Aquitaine 6.528e+08
## factor(ageClass)24.5:factor(reg_name)Nouvelle-Aquitaine 1.106e+09
## factor(ageClass)34.5:factor(reg_name)Nouvelle-Aquitaine 2.569e+08
## factor(ageClass)44.5:factor(reg_name)Nouvelle-Aquitaine 2.569e+08
## factor(ageClass)54.5:factor(reg_name)Nouvelle-Aquitaine 2.093e+08
## factor(ageClass)64.5:factor(reg_name)Nouvelle-Aquitaine 2.327e+08
## factor(ageClass)74.5:factor(reg_name)Nouvelle-Aquitaine 2.430e+08
## factor(ageClass)84.5:factor(reg_name)Nouvelle-Aquitaine 2.836e+09
## factor(ageClass)94.5:factor(reg_name)Nouvelle-Aquitaine -1.687e+09
## factor(ageClass)14.5:factor(reg_name)Occitanie 5.508e+08
## factor(ageClass)24.5:factor(reg_name)Occitanie 1.269e+09
## factor(ageClass)34.5:factor(reg_name)Occitanie 9.347e+07
## factor(ageClass)44.5:factor(reg_name)Occitanie 9.347e+07
## factor(ageClass)54.5:factor(reg_name)Occitanie -3.378e+08
## factor(ageClass)64.5:factor(reg_name)Occitanie -2.898e+08
## factor(ageClass)74.5:factor(reg_name)Occitanie 2.272e+08
## factor(ageClass)84.5:factor(reg_name)Occitanie 3.520e+09
## factor(ageClass)94.5:factor(reg_name)Occitanie -1.081e+09
## factor(ageClass)14.5:factor(reg_name)Pays de la Loire 6.708e+08
## factor(ageClass)24.5:factor(reg_name)Pays de la Loire 1.335e+09
## factor(ageClass)34.5:factor(reg_name)Pays de la Loire 6.250e+08
## factor(ageClass)44.5:factor(reg_name)Pays de la Loire 6.250e+08
## factor(ageClass)54.5:factor(reg_name)Pays de la Loire -1.560e+07
## factor(ageClass)64.5:factor(reg_name)Pays de la Loire 5.016e+08
## factor(ageClass)74.5:factor(reg_name)Pays de la Loire -9.042e+08
## factor(ageClass)84.5:factor(reg_name)Pays de la Loire 3.167e+09
## factor(ageClass)94.5:factor(reg_name)Pays de la Loire -9.270e+08
## factor(ageClass)14.5:factor(reg_name)Provence-Alpes-Côte d'Azur 3.951e+08
## factor(ageClass)24.5:factor(reg_name)Provence-Alpes-Côte d'Azur 1.116e+09
## factor(ageClass)34.5:factor(reg_name)Provence-Alpes-Côte d'Azur -2.663e+08
## factor(ageClass)44.5:factor(reg_name)Provence-Alpes-Côte d'Azur -2.663e+08
## factor(ageClass)54.5:factor(reg_name)Provence-Alpes-Côte d'Azur -1.675e+09
## factor(ageClass)64.5:factor(reg_name)Provence-Alpes-Côte d'Azur 1.024e+08
## factor(ageClass)74.5:factor(reg_name)Provence-Alpes-Côte d'Azur -8.023e+08
## factor(ageClass)84.5:factor(reg_name)Provence-Alpes-Côte d'Azur 3.500e+09
## factor(ageClass)94.5:factor(reg_name)Provence-Alpes-Côte d'Azur -1.506e+09
## time:factor(ageClass)14.5:factor(reg_name)Bourgogne-Franche-Comté 3.947e+08
## time:factor(ageClass)24.5:factor(reg_name)Bourgogne-Franche-Comté -4.212e+08
## time:factor(ageClass)34.5:factor(reg_name)Bourgogne-Franche-Comté 1.416e+09
## time:factor(ageClass)44.5:factor(reg_name)Bourgogne-Franche-Comté 6.362e+08
## time:factor(ageClass)54.5:factor(reg_name)Bourgogne-Franche-Comté 2.930e+09
## time:factor(ageClass)64.5:factor(reg_name)Bourgogne-Franche-Comté 2.766e+09
## time:factor(ageClass)74.5:factor(reg_name)Bourgogne-Franche-Comté 7.108e+08
## time:factor(ageClass)84.5:factor(reg_name)Bourgogne-Franche-Comté -1.277e+09
## time:factor(ageClass)94.5:factor(reg_name)Bourgogne-Franche-Comté 5.574e+07
## time:factor(ageClass)14.5:factor(reg_name)Bretagne 5.589e+07
## time:factor(ageClass)24.5:factor(reg_name)Bretagne -1.195e+09
## time:factor(ageClass)34.5:factor(reg_name)Bretagne 2.271e+08
## time:factor(ageClass)44.5:factor(reg_name)Bretagne 2.271e+08
## time:factor(ageClass)54.5:factor(reg_name)Bretagne 1.866e+09
## time:factor(ageClass)64.5:factor(reg_name)Bretagne 1.741e+09
## time:factor(ageClass)74.5:factor(reg_name)Bretagne -5.249e+08
## time:factor(ageClass)84.5:factor(reg_name)Bretagne -1.678e+09
## time:factor(ageClass)94.5:factor(reg_name)Bretagne 3.598e+08
## time:factor(ageClass)14.5:factor(reg_name)Centre-Val de Loire -2.281e+08
## time:factor(ageClass)24.5:factor(reg_name)Centre-Val de Loire -7.325e+08
## time:factor(ageClass)34.5:factor(reg_name)Centre-Val de Loire 8.204e+08
## time:factor(ageClass)44.5:factor(reg_name)Centre-Val de Loire 2.492e+08
## time:factor(ageClass)54.5:factor(reg_name)Centre-Val de Loire 1.787e+09
## time:factor(ageClass)64.5:factor(reg_name)Centre-Val de Loire 1.677e+09
## time:factor(ageClass)74.5:factor(reg_name)Centre-Val de Loire -8.871e+07
## time:factor(ageClass)84.5:factor(reg_name)Centre-Val de Loire -1.369e+09
## time:factor(ageClass)94.5:factor(reg_name)Centre-Val de Loire 1.078e+09
## time:factor(ageClass)14.5:factor(reg_name)Corse 2.435e+08
## time:factor(ageClass)24.5:factor(reg_name)Corse -1.814e+08
## time:factor(ageClass)34.5:factor(reg_name)Corse -2.152e+08
## time:factor(ageClass)44.5:factor(reg_name)Corse 1.738e+08
## time:factor(ageClass)54.5:factor(reg_name)Corse 6.671e+08
## time:factor(ageClass)64.5:factor(reg_name)Corse 6.332e+08
## time:factor(ageClass)74.5:factor(reg_name)Corse 4.101e+08
## time:factor(ageClass)84.5:factor(reg_name)Corse -1.185e+08
## time:factor(ageClass)94.5:factor(reg_name)Corse 3.722e+07
## time:factor(ageClass)14.5:factor(reg_name)Grand Est -5.116e+08
## time:factor(ageClass)24.5:factor(reg_name)Grand Est -1.803e+09
## time:factor(ageClass)34.5:factor(reg_name)Grand Est 5.064e+08
## time:factor(ageClass)44.5:factor(reg_name)Grand Est -1.664e+09
## time:factor(ageClass)54.5:factor(reg_name)Grand Est 1.780e+09
## time:factor(ageClass)64.5:factor(reg_name)Grand Est 1.607e+09
## time:factor(ageClass)74.5:factor(reg_name)Grand Est -1.229e+09
## time:factor(ageClass)84.5:factor(reg_name)Grand Est -2.735e+09
## time:factor(ageClass)94.5:factor(reg_name)Grand Est 3.650e+08
## time:factor(ageClass)14.5:factor(reg_name)Guadeloupe 1.418e+08
## time:factor(ageClass)24.5:factor(reg_name)Guadeloupe 5.704e+07
## time:factor(ageClass)34.5:factor(reg_name)Guadeloupe 4.952e+07
## time:factor(ageClass)44.5:factor(reg_name)Guadeloupe 5.230e+07
## time:factor(ageClass)54.5:factor(reg_name)Guadeloupe 3.543e+08
## time:factor(ageClass)64.5:factor(reg_name)Guadeloupe 3.312e+08
## time:factor(ageClass)74.5:factor(reg_name)Guadeloupe 7.244e+07
## time:factor(ageClass)84.5:factor(reg_name)Guadeloupe -1.525e+08
## time:factor(ageClass)94.5:factor(reg_name)Guadeloupe 2.684e+07
## time:factor(ageClass)14.5:factor(reg_name)Guyane -3.875e+07
## time:factor(ageClass)24.5:factor(reg_name)Guyane -2.230e+08
## time:factor(ageClass)34.5:factor(reg_name)Guyane -1.235e+08
## time:factor(ageClass)44.5:factor(reg_name)Guyane -2.068e+08
## time:factor(ageClass)54.5:factor(reg_name)Guyane -1.939e+07
## time:factor(ageClass)64.5:factor(reg_name)Guyane 8.308e+07
## time:factor(ageClass)74.5:factor(reg_name)Guyane -9.268e+06
## time:factor(ageClass)84.5:factor(reg_name)Guyane -2.267e+08
## time:factor(ageClass)94.5:factor(reg_name)Guyane NA
## time:factor(ageClass)14.5:factor(reg_name)Hauts-de-France 1.049e+09
## time:factor(ageClass)24.5:factor(reg_name)Hauts-de-France -2.291e+08
## time:factor(ageClass)34.5:factor(reg_name)Hauts-de-France 2.169e+09
## time:factor(ageClass)44.5:factor(reg_name)Hauts-de-France 9.615e+08
## time:factor(ageClass)54.5:factor(reg_name)Hauts-de-France 4.561e+09
## time:factor(ageClass)64.5:factor(reg_name)Hauts-de-France 2.864e+09
## time:factor(ageClass)74.5:factor(reg_name)Hauts-de-France -7.331e+07
## time:factor(ageClass)84.5:factor(reg_name)Hauts-de-France -1.952e+09
## time:factor(ageClass)94.5:factor(reg_name)Hauts-de-France 8.597e+07
## time:factor(ageClass)14.5:factor(reg_name)ÃŽle-de-France 2.001e+09
## time:factor(ageClass)24.5:factor(reg_name)ÃŽle-de-France 6.621e+08
## time:factor(ageClass)34.5:factor(reg_name)ÃŽle-de-France 1.983e+09
## time:factor(ageClass)44.5:factor(reg_name)ÃŽle-de-France 2.284e+09
## time:factor(ageClass)54.5:factor(reg_name)ÃŽle-de-France 5.582e+09
## time:factor(ageClass)64.5:factor(reg_name)ÃŽle-de-France 4.230e+09
## time:factor(ageClass)74.5:factor(reg_name)ÃŽle-de-France 1.358e+09
## time:factor(ageClass)84.5:factor(reg_name)ÃŽle-de-France -1.361e+09
## time:factor(ageClass)94.5:factor(reg_name)ÃŽle-de-France 5.795e+08
## time:factor(ageClass)14.5:factor(reg_name)La Réunion 5.708e+08
## time:factor(ageClass)24.5:factor(reg_name)La Réunion 1.967e+08
## time:factor(ageClass)34.5:factor(reg_name)La Réunion 3.198e+08
## time:factor(ageClass)44.5:factor(reg_name)La Réunion 2.973e+08
## time:factor(ageClass)54.5:factor(reg_name)La Réunion 9.272e+08
## time:factor(ageClass)64.5:factor(reg_name)La Réunion 7.946e+08
## time:factor(ageClass)74.5:factor(reg_name)La Réunion 3.004e+08
## time:factor(ageClass)84.5:factor(reg_name)La Réunion -2.904e+08
## time:factor(ageClass)94.5:factor(reg_name)La Réunion 1.931e+08
## time:factor(ageClass)14.5:factor(reg_name)Martinique -1.133e+08
## time:factor(ageClass)24.5:factor(reg_name)Martinique -1.671e+08
## time:factor(ageClass)34.5:factor(reg_name)Martinique 3.829e+07
## time:factor(ageClass)44.5:factor(reg_name)Martinique 3.834e+07
## time:factor(ageClass)54.5:factor(reg_name)Martinique 1.913e+08
## time:factor(ageClass)64.5:factor(reg_name)Martinique 1.520e+08
## time:factor(ageClass)74.5:factor(reg_name)Martinique 8.159e+07
## time:factor(ageClass)84.5:factor(reg_name)Martinique -2.052e+08
## time:factor(ageClass)94.5:factor(reg_name)Martinique 3.437e+07
## time:factor(ageClass)14.5:factor(reg_name)Mayotte 9.712e+06
## time:factor(ageClass)24.5:factor(reg_name)Mayotte 9.262e+05
## time:factor(ageClass)34.5:factor(reg_name)Mayotte 1.022e+07
## time:factor(ageClass)44.5:factor(reg_name)Mayotte 3.068e+06
## time:factor(ageClass)54.5:factor(reg_name)Mayotte 1.764e+07
## time:factor(ageClass)64.5:factor(reg_name)Mayotte 5.417e+06
## time:factor(ageClass)74.5:factor(reg_name)Mayotte 2.448e+05
## time:factor(ageClass)84.5:factor(reg_name)Mayotte -8.571e+06
## time:factor(ageClass)94.5:factor(reg_name)Mayotte NA
## time:factor(ageClass)14.5:factor(reg_name)Normandie -4.367e+08
## time:factor(ageClass)24.5:factor(reg_name)Normandie -1.337e+09
## time:factor(ageClass)34.5:factor(reg_name)Normandie 1.495e+08
## time:factor(ageClass)44.5:factor(reg_name)Normandie 1.495e+08
## time:factor(ageClass)54.5:factor(reg_name)Normandie 1.874e+06
## time:factor(ageClass)64.5:factor(reg_name)Normandie 2.608e+06
## time:factor(ageClass)74.5:factor(reg_name)Normandie 7.286e+08
## time:factor(ageClass)84.5:factor(reg_name)Normandie -2.001e+09
## time:factor(ageClass)94.5:factor(reg_name)Normandie 5.191e+08
## time:factor(ageClass)14.5:factor(reg_name)Nouvelle-Aquitaine -7.203e+08
## time:factor(ageClass)24.5:factor(reg_name)Nouvelle-Aquitaine -1.382e+09
## time:factor(ageClass)34.5:factor(reg_name)Nouvelle-Aquitaine -1.263e+08
## time:factor(ageClass)44.5:factor(reg_name)Nouvelle-Aquitaine -1.263e+08
## time:factor(ageClass)54.5:factor(reg_name)Nouvelle-Aquitaine -1.048e+08
## time:factor(ageClass)64.5:factor(reg_name)Nouvelle-Aquitaine -1.678e+08
## time:factor(ageClass)74.5:factor(reg_name)Nouvelle-Aquitaine -3.182e+08
## time:factor(ageClass)84.5:factor(reg_name)Nouvelle-Aquitaine -1.940e+09
## time:factor(ageClass)94.5:factor(reg_name)Nouvelle-Aquitaine 9.338e+08
## time:factor(ageClass)14.5:factor(reg_name)Occitanie -4.885e+08
## time:factor(ageClass)24.5:factor(reg_name)Occitanie -1.445e+09
## time:factor(ageClass)34.5:factor(reg_name)Occitanie 2.431e+08
## time:factor(ageClass)44.5:factor(reg_name)Occitanie 2.431e+08
## time:factor(ageClass)54.5:factor(reg_name)Occitanie 1.559e+09
## time:factor(ageClass)64.5:factor(reg_name)Occitanie 4.657e+08
## time:factor(ageClass)74.5:factor(reg_name)Occitanie -1.895e+08
## time:factor(ageClass)84.5:factor(reg_name)Occitanie -2.284e+09
## time:factor(ageClass)94.5:factor(reg_name)Occitanie 8.343e+08
## time:factor(ageClass)14.5:factor(reg_name)Pays de la Loire -5.500e+08
## time:factor(ageClass)24.5:factor(reg_name)Pays de la Loire -1.374e+09
## time:factor(ageClass)34.5:factor(reg_name)Pays de la Loire -4.809e+07
## time:factor(ageClass)44.5:factor(reg_name)Pays de la Loire -4.809e+07
## time:factor(ageClass)54.5:factor(reg_name)Pays de la Loire 1.238e+09
## time:factor(ageClass)64.5:factor(reg_name)Pays de la Loire -6.608e+07
## time:factor(ageClass)74.5:factor(reg_name)Pays de la Loire 6.990e+08
## time:factor(ageClass)84.5:factor(reg_name)Pays de la Loire -2.016e+09
## time:factor(ageClass)94.5:factor(reg_name)Pays de la Loire 6.718e+08
## time:factor(ageClass)14.5:factor(reg_name)Provence-Alpes-Côte d'Azur -7.426e+08
## time:factor(ageClass)24.5:factor(reg_name)Provence-Alpes-Côte d'Azur -1.765e+09
## time:factor(ageClass)34.5:factor(reg_name)Provence-Alpes-Côte d'Azur 8.067e+07
## time:factor(ageClass)44.5:factor(reg_name)Provence-Alpes-Côte d'Azur 8.067e+07
## time:factor(ageClass)54.5:factor(reg_name)Provence-Alpes-Côte d'Azur 1.158e+09
## time:factor(ageClass)64.5:factor(reg_name)Provence-Alpes-Côte d'Azur -2.276e+08
## time:factor(ageClass)74.5:factor(reg_name)Provence-Alpes-Côte d'Azur 8.013e+08
## time:factor(ageClass)84.5:factor(reg_name)Provence-Alpes-Côte d'Azur -2.275e+09
## time:factor(ageClass)94.5:factor(reg_name)Provence-Alpes-Côte d'Azur 9.977e+08
## Pr(>|z|)
## (Intercept) <2e-16
## time <2e-16
## factor(ageClass)14.5 <2e-16
## factor(ageClass)24.5 <2e-16
## factor(ageClass)34.5 <2e-16
## factor(ageClass)44.5 <2e-16
## factor(ageClass)54.5 <2e-16
## factor(ageClass)64.5 <2e-16
## factor(ageClass)74.5 <2e-16
## factor(ageClass)84.5 <2e-16
## factor(ageClass)94.5 <2e-16
## factor(reg_name)Bourgogne-Franche-Comté <2e-16
## factor(reg_name)Bretagne <2e-16
## factor(reg_name)Centre-Val de Loire <2e-16
## factor(reg_name)Corse <2e-16
## factor(reg_name)Grand Est <2e-16
## factor(reg_name)Guadeloupe <2e-16
## factor(reg_name)Guyane <2e-16
## factor(reg_name)Hauts-de-France <2e-16
## factor(reg_name)ÃŽle-de-France <2e-16
## factor(reg_name)La Réunion <2e-16
## factor(reg_name)Martinique <2e-16
## factor(reg_name)Mayotte <2e-16
## factor(reg_name)Normandie <2e-16
## factor(reg_name)Nouvelle-Aquitaine <2e-16
## factor(reg_name)Occitanie <2e-16
## factor(reg_name)Pays de la Loire <2e-16
## factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## time:factor(ageClass)14.5 <2e-16
## time:factor(ageClass)24.5 <2e-16
## time:factor(ageClass)34.5 <2e-16
## time:factor(ageClass)44.5 <2e-16
## time:factor(ageClass)54.5 <2e-16
## time:factor(ageClass)64.5 <2e-16
## time:factor(ageClass)74.5 <2e-16
## time:factor(ageClass)84.5 <2e-16
## time:factor(ageClass)94.5 <2e-16
## time:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## time:factor(reg_name)Bretagne <2e-16
## time:factor(reg_name)Centre-Val de Loire <2e-16
## time:factor(reg_name)Corse <2e-16
## time:factor(reg_name)Grand Est <2e-16
## time:factor(reg_name)Guadeloupe <2e-16
## time:factor(reg_name)Guyane <2e-16
## time:factor(reg_name)Hauts-de-France <2e-16
## time:factor(reg_name)ÃŽle-de-France <2e-16
## time:factor(reg_name)La Réunion <2e-16
## time:factor(reg_name)Martinique <2e-16
## time:factor(reg_name)Mayotte <2e-16
## time:factor(reg_name)Normandie <2e-16
## time:factor(reg_name)Nouvelle-Aquitaine <2e-16
## time:factor(reg_name)Occitanie <2e-16
## time:factor(reg_name)Pays de la Loire <2e-16
## time:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## factor(ageClass)14.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## factor(ageClass)24.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## factor(ageClass)34.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## factor(ageClass)44.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## factor(ageClass)54.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## factor(ageClass)64.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## factor(ageClass)74.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## factor(ageClass)84.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## factor(ageClass)94.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## factor(ageClass)14.5:factor(reg_name)Bretagne <2e-16
## factor(ageClass)24.5:factor(reg_name)Bretagne <2e-16
## factor(ageClass)34.5:factor(reg_name)Bretagne <2e-16
## factor(ageClass)44.5:factor(reg_name)Bretagne <2e-16
## factor(ageClass)54.5:factor(reg_name)Bretagne <2e-16
## factor(ageClass)64.5:factor(reg_name)Bretagne <2e-16
## factor(ageClass)74.5:factor(reg_name)Bretagne <2e-16
## factor(ageClass)84.5:factor(reg_name)Bretagne <2e-16
## factor(ageClass)94.5:factor(reg_name)Bretagne <2e-16
## factor(ageClass)14.5:factor(reg_name)Centre-Val de Loire <2e-16
## factor(ageClass)24.5:factor(reg_name)Centre-Val de Loire <2e-16
## factor(ageClass)34.5:factor(reg_name)Centre-Val de Loire <2e-16
## factor(ageClass)44.5:factor(reg_name)Centre-Val de Loire <2e-16
## factor(ageClass)54.5:factor(reg_name)Centre-Val de Loire <2e-16
## factor(ageClass)64.5:factor(reg_name)Centre-Val de Loire <2e-16
## factor(ageClass)74.5:factor(reg_name)Centre-Val de Loire <2e-16
## factor(ageClass)84.5:factor(reg_name)Centre-Val de Loire <2e-16
## factor(ageClass)94.5:factor(reg_name)Centre-Val de Loire <2e-16
## factor(ageClass)14.5:factor(reg_name)Corse <2e-16
## factor(ageClass)24.5:factor(reg_name)Corse <2e-16
## factor(ageClass)34.5:factor(reg_name)Corse <2e-16
## factor(ageClass)44.5:factor(reg_name)Corse <2e-16
## factor(ageClass)54.5:factor(reg_name)Corse <2e-16
## factor(ageClass)64.5:factor(reg_name)Corse <2e-16
## factor(ageClass)74.5:factor(reg_name)Corse <2e-16
## factor(ageClass)84.5:factor(reg_name)Corse <2e-16
## factor(ageClass)94.5:factor(reg_name)Corse <2e-16
## factor(ageClass)14.5:factor(reg_name)Grand Est <2e-16
## factor(ageClass)24.5:factor(reg_name)Grand Est <2e-16
## factor(ageClass)34.5:factor(reg_name)Grand Est <2e-16
## factor(ageClass)44.5:factor(reg_name)Grand Est <2e-16
## factor(ageClass)54.5:factor(reg_name)Grand Est <2e-16
## factor(ageClass)64.5:factor(reg_name)Grand Est <2e-16
## factor(ageClass)74.5:factor(reg_name)Grand Est <2e-16
## factor(ageClass)84.5:factor(reg_name)Grand Est <2e-16
## factor(ageClass)94.5:factor(reg_name)Grand Est <2e-16
## factor(ageClass)14.5:factor(reg_name)Guadeloupe <2e-16
## factor(ageClass)24.5:factor(reg_name)Guadeloupe <2e-16
## factor(ageClass)34.5:factor(reg_name)Guadeloupe <2e-16
## factor(ageClass)44.5:factor(reg_name)Guadeloupe <2e-16
## factor(ageClass)54.5:factor(reg_name)Guadeloupe <2e-16
## factor(ageClass)64.5:factor(reg_name)Guadeloupe <2e-16
## factor(ageClass)74.5:factor(reg_name)Guadeloupe <2e-16
## factor(ageClass)84.5:factor(reg_name)Guadeloupe <2e-16
## factor(ageClass)94.5:factor(reg_name)Guadeloupe <2e-16
## factor(ageClass)14.5:factor(reg_name)Guyane <2e-16
## factor(ageClass)24.5:factor(reg_name)Guyane <2e-16
## factor(ageClass)34.5:factor(reg_name)Guyane <2e-16
## factor(ageClass)44.5:factor(reg_name)Guyane <2e-16
## factor(ageClass)54.5:factor(reg_name)Guyane <2e-16
## factor(ageClass)64.5:factor(reg_name)Guyane <2e-16
## factor(ageClass)74.5:factor(reg_name)Guyane <2e-16
## factor(ageClass)84.5:factor(reg_name)Guyane <2e-16
## factor(ageClass)94.5:factor(reg_name)Guyane NA
## factor(ageClass)14.5:factor(reg_name)Hauts-de-France <2e-16
## factor(ageClass)24.5:factor(reg_name)Hauts-de-France <2e-16
## factor(ageClass)34.5:factor(reg_name)Hauts-de-France <2e-16
## factor(ageClass)44.5:factor(reg_name)Hauts-de-France <2e-16
## factor(ageClass)54.5:factor(reg_name)Hauts-de-France <2e-16
## factor(ageClass)64.5:factor(reg_name)Hauts-de-France <2e-16
## factor(ageClass)74.5:factor(reg_name)Hauts-de-France <2e-16
## factor(ageClass)84.5:factor(reg_name)Hauts-de-France <2e-16
## factor(ageClass)94.5:factor(reg_name)Hauts-de-France <2e-16
## factor(ageClass)14.5:factor(reg_name)ÃŽle-de-France <2e-16
## factor(ageClass)24.5:factor(reg_name)ÃŽle-de-France <2e-16
## factor(ageClass)34.5:factor(reg_name)ÃŽle-de-France <2e-16
## factor(ageClass)44.5:factor(reg_name)ÃŽle-de-France <2e-16
## factor(ageClass)54.5:factor(reg_name)ÃŽle-de-France <2e-16
## factor(ageClass)64.5:factor(reg_name)ÃŽle-de-France <2e-16
## factor(ageClass)74.5:factor(reg_name)ÃŽle-de-France <2e-16
## factor(ageClass)84.5:factor(reg_name)ÃŽle-de-France <2e-16
## factor(ageClass)94.5:factor(reg_name)ÃŽle-de-France <2e-16
## factor(ageClass)14.5:factor(reg_name)La Réunion <2e-16
## factor(ageClass)24.5:factor(reg_name)La Réunion <2e-16
## factor(ageClass)34.5:factor(reg_name)La Réunion <2e-16
## factor(ageClass)44.5:factor(reg_name)La Réunion <2e-16
## factor(ageClass)54.5:factor(reg_name)La Réunion <2e-16
## factor(ageClass)64.5:factor(reg_name)La Réunion <2e-16
## factor(ageClass)74.5:factor(reg_name)La Réunion <2e-16
## factor(ageClass)84.5:factor(reg_name)La Réunion <2e-16
## factor(ageClass)94.5:factor(reg_name)La Réunion <2e-16
## factor(ageClass)14.5:factor(reg_name)Martinique <2e-16
## factor(ageClass)24.5:factor(reg_name)Martinique <2e-16
## factor(ageClass)34.5:factor(reg_name)Martinique <2e-16
## factor(ageClass)44.5:factor(reg_name)Martinique <2e-16
## factor(ageClass)54.5:factor(reg_name)Martinique <2e-16
## factor(ageClass)64.5:factor(reg_name)Martinique <2e-16
## factor(ageClass)74.5:factor(reg_name)Martinique <2e-16
## factor(ageClass)84.5:factor(reg_name)Martinique <2e-16
## factor(ageClass)94.5:factor(reg_name)Martinique <2e-16
## factor(ageClass)14.5:factor(reg_name)Mayotte <2e-16
## factor(ageClass)24.5:factor(reg_name)Mayotte <2e-16
## factor(ageClass)34.5:factor(reg_name)Mayotte <2e-16
## factor(ageClass)44.5:factor(reg_name)Mayotte <2e-16
## factor(ageClass)54.5:factor(reg_name)Mayotte <2e-16
## factor(ageClass)64.5:factor(reg_name)Mayotte <2e-16
## factor(ageClass)74.5:factor(reg_name)Mayotte <2e-16
## factor(ageClass)84.5:factor(reg_name)Mayotte <2e-16
## factor(ageClass)94.5:factor(reg_name)Mayotte NA
## factor(ageClass)14.5:factor(reg_name)Normandie <2e-16
## factor(ageClass)24.5:factor(reg_name)Normandie <2e-16
## factor(ageClass)34.5:factor(reg_name)Normandie <2e-16
## factor(ageClass)44.5:factor(reg_name)Normandie <2e-16
## factor(ageClass)54.5:factor(reg_name)Normandie <2e-16
## factor(ageClass)64.5:factor(reg_name)Normandie <2e-16
## factor(ageClass)74.5:factor(reg_name)Normandie <2e-16
## factor(ageClass)84.5:factor(reg_name)Normandie <2e-16
## factor(ageClass)94.5:factor(reg_name)Normandie <2e-16
## factor(ageClass)14.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## factor(ageClass)24.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## factor(ageClass)34.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## factor(ageClass)44.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## factor(ageClass)54.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## factor(ageClass)64.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## factor(ageClass)74.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## factor(ageClass)84.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## factor(ageClass)94.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## factor(ageClass)14.5:factor(reg_name)Occitanie <2e-16
## factor(ageClass)24.5:factor(reg_name)Occitanie <2e-16
## factor(ageClass)34.5:factor(reg_name)Occitanie <2e-16
## factor(ageClass)44.5:factor(reg_name)Occitanie <2e-16
## factor(ageClass)54.5:factor(reg_name)Occitanie <2e-16
## factor(ageClass)64.5:factor(reg_name)Occitanie <2e-16
## factor(ageClass)74.5:factor(reg_name)Occitanie <2e-16
## factor(ageClass)84.5:factor(reg_name)Occitanie <2e-16
## factor(ageClass)94.5:factor(reg_name)Occitanie <2e-16
## factor(ageClass)14.5:factor(reg_name)Pays de la Loire <2e-16
## factor(ageClass)24.5:factor(reg_name)Pays de la Loire <2e-16
## factor(ageClass)34.5:factor(reg_name)Pays de la Loire <2e-16
## factor(ageClass)44.5:factor(reg_name)Pays de la Loire <2e-16
## factor(ageClass)54.5:factor(reg_name)Pays de la Loire <2e-16
## factor(ageClass)64.5:factor(reg_name)Pays de la Loire <2e-16
## factor(ageClass)74.5:factor(reg_name)Pays de la Loire <2e-16
## factor(ageClass)84.5:factor(reg_name)Pays de la Loire <2e-16
## factor(ageClass)94.5:factor(reg_name)Pays de la Loire <2e-16
## factor(ageClass)14.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## factor(ageClass)24.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## factor(ageClass)34.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## factor(ageClass)44.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## factor(ageClass)54.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## factor(ageClass)64.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## factor(ageClass)74.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## factor(ageClass)84.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## factor(ageClass)94.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## time:factor(ageClass)14.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Bourgogne-Franche-Comté <2e-16
## time:factor(ageClass)14.5:factor(reg_name)Bretagne <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Bretagne <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Bretagne <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Bretagne <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Bretagne <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Bretagne <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Bretagne <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Bretagne <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Bretagne <2e-16
## time:factor(ageClass)14.5:factor(reg_name)Centre-Val de Loire <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Centre-Val de Loire <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Centre-Val de Loire <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Centre-Val de Loire <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Centre-Val de Loire <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Centre-Val de Loire <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Centre-Val de Loire <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Centre-Val de Loire <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Centre-Val de Loire <2e-16
## time:factor(ageClass)14.5:factor(reg_name)Corse <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Corse <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Corse <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Corse <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Corse <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Corse <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Corse <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Corse <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Corse <2e-16
## time:factor(ageClass)14.5:factor(reg_name)Grand Est <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Grand Est <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Grand Est <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Grand Est <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Grand Est <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Grand Est <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Grand Est <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Grand Est <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Grand Est <2e-16
## time:factor(ageClass)14.5:factor(reg_name)Guadeloupe <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Guadeloupe <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Guadeloupe <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Guadeloupe <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Guadeloupe <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Guadeloupe <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Guadeloupe <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Guadeloupe <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Guadeloupe <2e-16
## time:factor(ageClass)14.5:factor(reg_name)Guyane <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Guyane <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Guyane <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Guyane <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Guyane <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Guyane <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Guyane <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Guyane <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Guyane NA
## time:factor(ageClass)14.5:factor(reg_name)Hauts-de-France <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Hauts-de-France <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Hauts-de-France <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Hauts-de-France <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Hauts-de-France <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Hauts-de-France <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Hauts-de-France <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Hauts-de-France <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Hauts-de-France <2e-16
## time:factor(ageClass)14.5:factor(reg_name)ÃŽle-de-France <2e-16
## time:factor(ageClass)24.5:factor(reg_name)ÃŽle-de-France <2e-16
## time:factor(ageClass)34.5:factor(reg_name)ÃŽle-de-France <2e-16
## time:factor(ageClass)44.5:factor(reg_name)ÃŽle-de-France <2e-16
## time:factor(ageClass)54.5:factor(reg_name)ÃŽle-de-France <2e-16
## time:factor(ageClass)64.5:factor(reg_name)ÃŽle-de-France <2e-16
## time:factor(ageClass)74.5:factor(reg_name)ÃŽle-de-France <2e-16
## time:factor(ageClass)84.5:factor(reg_name)ÃŽle-de-France <2e-16
## time:factor(ageClass)94.5:factor(reg_name)ÃŽle-de-France <2e-16
## time:factor(ageClass)14.5:factor(reg_name)La Réunion <2e-16
## time:factor(ageClass)24.5:factor(reg_name)La Réunion <2e-16
## time:factor(ageClass)34.5:factor(reg_name)La Réunion <2e-16
## time:factor(ageClass)44.5:factor(reg_name)La Réunion <2e-16
## time:factor(ageClass)54.5:factor(reg_name)La Réunion <2e-16
## time:factor(ageClass)64.5:factor(reg_name)La Réunion <2e-16
## time:factor(ageClass)74.5:factor(reg_name)La Réunion <2e-16
## time:factor(ageClass)84.5:factor(reg_name)La Réunion <2e-16
## time:factor(ageClass)94.5:factor(reg_name)La Réunion <2e-16
## time:factor(ageClass)14.5:factor(reg_name)Martinique <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Martinique <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Martinique <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Martinique <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Martinique <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Martinique <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Martinique <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Martinique <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Martinique <2e-16
## time:factor(ageClass)14.5:factor(reg_name)Mayotte <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Mayotte <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Mayotte <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Mayotte <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Mayotte <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Mayotte <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Mayotte <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Mayotte <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Mayotte NA
## time:factor(ageClass)14.5:factor(reg_name)Normandie <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Normandie <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Normandie <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Normandie <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Normandie <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Normandie <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Normandie <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Normandie <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Normandie <2e-16
## time:factor(ageClass)14.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Nouvelle-Aquitaine <2e-16
## time:factor(ageClass)14.5:factor(reg_name)Occitanie <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Occitanie <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Occitanie <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Occitanie <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Occitanie <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Occitanie <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Occitanie <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Occitanie <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Occitanie <2e-16
## time:factor(ageClass)14.5:factor(reg_name)Pays de la Loire <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Pays de la Loire <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Pays de la Loire <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Pays de la Loire <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Pays de la Loire <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Pays de la Loire <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Pays de la Loire <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Pays de la Loire <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Pays de la Loire <2e-16
## time:factor(ageClass)14.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## time:factor(ageClass)24.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## time:factor(ageClass)34.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## time:factor(ageClass)44.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## time:factor(ageClass)54.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## time:factor(ageClass)64.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## time:factor(ageClass)74.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## time:factor(ageClass)84.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
## time:factor(ageClass)94.5:factor(reg_name)Provence-Alpes-Côte d'Azur <2e-16
##
## (Intercept) ***
## time ***
## factor(ageClass)14.5 ***
## factor(ageClass)24.5 ***
## factor(ageClass)34.5 ***
## factor(ageClass)44.5 ***
## factor(ageClass)54.5 ***
## factor(ageClass)64.5 ***
## factor(ageClass)74.5 ***
## factor(ageClass)84.5 ***
## factor(ageClass)94.5 ***
## factor(reg_name)Bourgogne-Franche-Comté ***
## factor(reg_name)Bretagne ***
## factor(reg_name)Centre-Val de Loire ***
## factor(reg_name)Corse ***
## factor(reg_name)Grand Est ***
## factor(reg_name)Guadeloupe ***
## factor(reg_name)Guyane ***
## factor(reg_name)Hauts-de-France ***
## factor(reg_name)ÃŽle-de-France ***
## factor(reg_name)La Réunion ***
## factor(reg_name)Martinique ***
## factor(reg_name)Mayotte ***
## factor(reg_name)Normandie ***
## factor(reg_name)Nouvelle-Aquitaine ***
## factor(reg_name)Occitanie ***
## factor(reg_name)Pays de la Loire ***
## factor(reg_name)Provence-Alpes-Côte d'Azur ***
## time:factor(ageClass)14.5 ***
## time:factor(ageClass)24.5 ***
## time:factor(ageClass)34.5 ***
## time:factor(ageClass)44.5 ***
## time:factor(ageClass)54.5 ***
## time:factor(ageClass)64.5 ***
## time:factor(ageClass)74.5 ***
## time:factor(ageClass)84.5 ***
## time:factor(ageClass)94.5 ***
## time:factor(reg_name)Bourgogne-Franche-Comté ***
## time:factor(reg_name)Bretagne ***
## time:factor(reg_name)Centre-Val de Loire ***
## time:factor(reg_name)Corse ***
## time:factor(reg_name)Grand Est ***
## time:factor(reg_name)Guadeloupe ***
## time:factor(reg_name)Guyane ***
## time:factor(reg_name)Hauts-de-France ***
## time:factor(reg_name)ÃŽle-de-France ***
## time:factor(reg_name)La Réunion ***
## time:factor(reg_name)Martinique ***
## time:factor(reg_name)Mayotte ***
## time:factor(reg_name)Normandie ***
## time:factor(reg_name)Nouvelle-Aquitaine ***
## time:factor(reg_name)Occitanie ***
## time:factor(reg_name)Pays de la Loire ***
## time:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## factor(ageClass)14.5:factor(reg_name)Bourgogne-Franche-Comté ***
## factor(ageClass)24.5:factor(reg_name)Bourgogne-Franche-Comté ***
## factor(ageClass)34.5:factor(reg_name)Bourgogne-Franche-Comté ***
## factor(ageClass)44.5:factor(reg_name)Bourgogne-Franche-Comté ***
## factor(ageClass)54.5:factor(reg_name)Bourgogne-Franche-Comté ***
## factor(ageClass)64.5:factor(reg_name)Bourgogne-Franche-Comté ***
## factor(ageClass)74.5:factor(reg_name)Bourgogne-Franche-Comté ***
## factor(ageClass)84.5:factor(reg_name)Bourgogne-Franche-Comté ***
## factor(ageClass)94.5:factor(reg_name)Bourgogne-Franche-Comté ***
## factor(ageClass)14.5:factor(reg_name)Bretagne ***
## factor(ageClass)24.5:factor(reg_name)Bretagne ***
## factor(ageClass)34.5:factor(reg_name)Bretagne ***
## factor(ageClass)44.5:factor(reg_name)Bretagne ***
## factor(ageClass)54.5:factor(reg_name)Bretagne ***
## factor(ageClass)64.5:factor(reg_name)Bretagne ***
## factor(ageClass)74.5:factor(reg_name)Bretagne ***
## factor(ageClass)84.5:factor(reg_name)Bretagne ***
## factor(ageClass)94.5:factor(reg_name)Bretagne ***
## factor(ageClass)14.5:factor(reg_name)Centre-Val de Loire ***
## factor(ageClass)24.5:factor(reg_name)Centre-Val de Loire ***
## factor(ageClass)34.5:factor(reg_name)Centre-Val de Loire ***
## factor(ageClass)44.5:factor(reg_name)Centre-Val de Loire ***
## factor(ageClass)54.5:factor(reg_name)Centre-Val de Loire ***
## factor(ageClass)64.5:factor(reg_name)Centre-Val de Loire ***
## factor(ageClass)74.5:factor(reg_name)Centre-Val de Loire ***
## factor(ageClass)84.5:factor(reg_name)Centre-Val de Loire ***
## factor(ageClass)94.5:factor(reg_name)Centre-Val de Loire ***
## factor(ageClass)14.5:factor(reg_name)Corse ***
## factor(ageClass)24.5:factor(reg_name)Corse ***
## factor(ageClass)34.5:factor(reg_name)Corse ***
## factor(ageClass)44.5:factor(reg_name)Corse ***
## factor(ageClass)54.5:factor(reg_name)Corse ***
## factor(ageClass)64.5:factor(reg_name)Corse ***
## factor(ageClass)74.5:factor(reg_name)Corse ***
## factor(ageClass)84.5:factor(reg_name)Corse ***
## factor(ageClass)94.5:factor(reg_name)Corse ***
## factor(ageClass)14.5:factor(reg_name)Grand Est ***
## factor(ageClass)24.5:factor(reg_name)Grand Est ***
## factor(ageClass)34.5:factor(reg_name)Grand Est ***
## factor(ageClass)44.5:factor(reg_name)Grand Est ***
## factor(ageClass)54.5:factor(reg_name)Grand Est ***
## factor(ageClass)64.5:factor(reg_name)Grand Est ***
## factor(ageClass)74.5:factor(reg_name)Grand Est ***
## factor(ageClass)84.5:factor(reg_name)Grand Est ***
## factor(ageClass)94.5:factor(reg_name)Grand Est ***
## factor(ageClass)14.5:factor(reg_name)Guadeloupe ***
## factor(ageClass)24.5:factor(reg_name)Guadeloupe ***
## factor(ageClass)34.5:factor(reg_name)Guadeloupe ***
## factor(ageClass)44.5:factor(reg_name)Guadeloupe ***
## factor(ageClass)54.5:factor(reg_name)Guadeloupe ***
## factor(ageClass)64.5:factor(reg_name)Guadeloupe ***
## factor(ageClass)74.5:factor(reg_name)Guadeloupe ***
## factor(ageClass)84.5:factor(reg_name)Guadeloupe ***
## factor(ageClass)94.5:factor(reg_name)Guadeloupe ***
## factor(ageClass)14.5:factor(reg_name)Guyane ***
## factor(ageClass)24.5:factor(reg_name)Guyane ***
## factor(ageClass)34.5:factor(reg_name)Guyane ***
## factor(ageClass)44.5:factor(reg_name)Guyane ***
## factor(ageClass)54.5:factor(reg_name)Guyane ***
## factor(ageClass)64.5:factor(reg_name)Guyane ***
## factor(ageClass)74.5:factor(reg_name)Guyane ***
## factor(ageClass)84.5:factor(reg_name)Guyane ***
## factor(ageClass)94.5:factor(reg_name)Guyane
## factor(ageClass)14.5:factor(reg_name)Hauts-de-France ***
## factor(ageClass)24.5:factor(reg_name)Hauts-de-France ***
## factor(ageClass)34.5:factor(reg_name)Hauts-de-France ***
## factor(ageClass)44.5:factor(reg_name)Hauts-de-France ***
## factor(ageClass)54.5:factor(reg_name)Hauts-de-France ***
## factor(ageClass)64.5:factor(reg_name)Hauts-de-France ***
## factor(ageClass)74.5:factor(reg_name)Hauts-de-France ***
## factor(ageClass)84.5:factor(reg_name)Hauts-de-France ***
## factor(ageClass)94.5:factor(reg_name)Hauts-de-France ***
## factor(ageClass)14.5:factor(reg_name)ÃŽle-de-France ***
## factor(ageClass)24.5:factor(reg_name)ÃŽle-de-France ***
## factor(ageClass)34.5:factor(reg_name)ÃŽle-de-France ***
## factor(ageClass)44.5:factor(reg_name)ÃŽle-de-France ***
## factor(ageClass)54.5:factor(reg_name)ÃŽle-de-France ***
## factor(ageClass)64.5:factor(reg_name)ÃŽle-de-France ***
## factor(ageClass)74.5:factor(reg_name)ÃŽle-de-France ***
## factor(ageClass)84.5:factor(reg_name)ÃŽle-de-France ***
## factor(ageClass)94.5:factor(reg_name)ÃŽle-de-France ***
## factor(ageClass)14.5:factor(reg_name)La Réunion ***
## factor(ageClass)24.5:factor(reg_name)La Réunion ***
## factor(ageClass)34.5:factor(reg_name)La Réunion ***
## factor(ageClass)44.5:factor(reg_name)La Réunion ***
## factor(ageClass)54.5:factor(reg_name)La Réunion ***
## factor(ageClass)64.5:factor(reg_name)La Réunion ***
## factor(ageClass)74.5:factor(reg_name)La Réunion ***
## factor(ageClass)84.5:factor(reg_name)La Réunion ***
## factor(ageClass)94.5:factor(reg_name)La Réunion ***
## factor(ageClass)14.5:factor(reg_name)Martinique ***
## factor(ageClass)24.5:factor(reg_name)Martinique ***
## factor(ageClass)34.5:factor(reg_name)Martinique ***
## factor(ageClass)44.5:factor(reg_name)Martinique ***
## factor(ageClass)54.5:factor(reg_name)Martinique ***
## factor(ageClass)64.5:factor(reg_name)Martinique ***
## factor(ageClass)74.5:factor(reg_name)Martinique ***
## factor(ageClass)84.5:factor(reg_name)Martinique ***
## factor(ageClass)94.5:factor(reg_name)Martinique ***
## factor(ageClass)14.5:factor(reg_name)Mayotte ***
## factor(ageClass)24.5:factor(reg_name)Mayotte ***
## factor(ageClass)34.5:factor(reg_name)Mayotte ***
## factor(ageClass)44.5:factor(reg_name)Mayotte ***
## factor(ageClass)54.5:factor(reg_name)Mayotte ***
## factor(ageClass)64.5:factor(reg_name)Mayotte ***
## factor(ageClass)74.5:factor(reg_name)Mayotte ***
## factor(ageClass)84.5:factor(reg_name)Mayotte ***
## factor(ageClass)94.5:factor(reg_name)Mayotte
## factor(ageClass)14.5:factor(reg_name)Normandie ***
## factor(ageClass)24.5:factor(reg_name)Normandie ***
## factor(ageClass)34.5:factor(reg_name)Normandie ***
## factor(ageClass)44.5:factor(reg_name)Normandie ***
## factor(ageClass)54.5:factor(reg_name)Normandie ***
## factor(ageClass)64.5:factor(reg_name)Normandie ***
## factor(ageClass)74.5:factor(reg_name)Normandie ***
## factor(ageClass)84.5:factor(reg_name)Normandie ***
## factor(ageClass)94.5:factor(reg_name)Normandie ***
## factor(ageClass)14.5:factor(reg_name)Nouvelle-Aquitaine ***
## factor(ageClass)24.5:factor(reg_name)Nouvelle-Aquitaine ***
## factor(ageClass)34.5:factor(reg_name)Nouvelle-Aquitaine ***
## factor(ageClass)44.5:factor(reg_name)Nouvelle-Aquitaine ***
## factor(ageClass)54.5:factor(reg_name)Nouvelle-Aquitaine ***
## factor(ageClass)64.5:factor(reg_name)Nouvelle-Aquitaine ***
## factor(ageClass)74.5:factor(reg_name)Nouvelle-Aquitaine ***
## factor(ageClass)84.5:factor(reg_name)Nouvelle-Aquitaine ***
## factor(ageClass)94.5:factor(reg_name)Nouvelle-Aquitaine ***
## factor(ageClass)14.5:factor(reg_name)Occitanie ***
## factor(ageClass)24.5:factor(reg_name)Occitanie ***
## factor(ageClass)34.5:factor(reg_name)Occitanie ***
## factor(ageClass)44.5:factor(reg_name)Occitanie ***
## factor(ageClass)54.5:factor(reg_name)Occitanie ***
## factor(ageClass)64.5:factor(reg_name)Occitanie ***
## factor(ageClass)74.5:factor(reg_name)Occitanie ***
## factor(ageClass)84.5:factor(reg_name)Occitanie ***
## factor(ageClass)94.5:factor(reg_name)Occitanie ***
## factor(ageClass)14.5:factor(reg_name)Pays de la Loire ***
## factor(ageClass)24.5:factor(reg_name)Pays de la Loire ***
## factor(ageClass)34.5:factor(reg_name)Pays de la Loire ***
## factor(ageClass)44.5:factor(reg_name)Pays de la Loire ***
## factor(ageClass)54.5:factor(reg_name)Pays de la Loire ***
## factor(ageClass)64.5:factor(reg_name)Pays de la Loire ***
## factor(ageClass)74.5:factor(reg_name)Pays de la Loire ***
## factor(ageClass)84.5:factor(reg_name)Pays de la Loire ***
## factor(ageClass)94.5:factor(reg_name)Pays de la Loire ***
## factor(ageClass)14.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## factor(ageClass)24.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## factor(ageClass)34.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## factor(ageClass)44.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## factor(ageClass)54.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## factor(ageClass)64.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## factor(ageClass)74.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## factor(ageClass)84.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## factor(ageClass)94.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## time:factor(ageClass)14.5:factor(reg_name)Bourgogne-Franche-Comté ***
## time:factor(ageClass)24.5:factor(reg_name)Bourgogne-Franche-Comté ***
## time:factor(ageClass)34.5:factor(reg_name)Bourgogne-Franche-Comté ***
## time:factor(ageClass)44.5:factor(reg_name)Bourgogne-Franche-Comté ***
## time:factor(ageClass)54.5:factor(reg_name)Bourgogne-Franche-Comté ***
## time:factor(ageClass)64.5:factor(reg_name)Bourgogne-Franche-Comté ***
## time:factor(ageClass)74.5:factor(reg_name)Bourgogne-Franche-Comté ***
## time:factor(ageClass)84.5:factor(reg_name)Bourgogne-Franche-Comté ***
## time:factor(ageClass)94.5:factor(reg_name)Bourgogne-Franche-Comté ***
## time:factor(ageClass)14.5:factor(reg_name)Bretagne ***
## time:factor(ageClass)24.5:factor(reg_name)Bretagne ***
## time:factor(ageClass)34.5:factor(reg_name)Bretagne ***
## time:factor(ageClass)44.5:factor(reg_name)Bretagne ***
## time:factor(ageClass)54.5:factor(reg_name)Bretagne ***
## time:factor(ageClass)64.5:factor(reg_name)Bretagne ***
## time:factor(ageClass)74.5:factor(reg_name)Bretagne ***
## time:factor(ageClass)84.5:factor(reg_name)Bretagne ***
## time:factor(ageClass)94.5:factor(reg_name)Bretagne ***
## time:factor(ageClass)14.5:factor(reg_name)Centre-Val de Loire ***
## time:factor(ageClass)24.5:factor(reg_name)Centre-Val de Loire ***
## time:factor(ageClass)34.5:factor(reg_name)Centre-Val de Loire ***
## time:factor(ageClass)44.5:factor(reg_name)Centre-Val de Loire ***
## time:factor(ageClass)54.5:factor(reg_name)Centre-Val de Loire ***
## time:factor(ageClass)64.5:factor(reg_name)Centre-Val de Loire ***
## time:factor(ageClass)74.5:factor(reg_name)Centre-Val de Loire ***
## time:factor(ageClass)84.5:factor(reg_name)Centre-Val de Loire ***
## time:factor(ageClass)94.5:factor(reg_name)Centre-Val de Loire ***
## time:factor(ageClass)14.5:factor(reg_name)Corse ***
## time:factor(ageClass)24.5:factor(reg_name)Corse ***
## time:factor(ageClass)34.5:factor(reg_name)Corse ***
## time:factor(ageClass)44.5:factor(reg_name)Corse ***
## time:factor(ageClass)54.5:factor(reg_name)Corse ***
## time:factor(ageClass)64.5:factor(reg_name)Corse ***
## time:factor(ageClass)74.5:factor(reg_name)Corse ***
## time:factor(ageClass)84.5:factor(reg_name)Corse ***
## time:factor(ageClass)94.5:factor(reg_name)Corse ***
## time:factor(ageClass)14.5:factor(reg_name)Grand Est ***
## time:factor(ageClass)24.5:factor(reg_name)Grand Est ***
## time:factor(ageClass)34.5:factor(reg_name)Grand Est ***
## time:factor(ageClass)44.5:factor(reg_name)Grand Est ***
## time:factor(ageClass)54.5:factor(reg_name)Grand Est ***
## time:factor(ageClass)64.5:factor(reg_name)Grand Est ***
## time:factor(ageClass)74.5:factor(reg_name)Grand Est ***
## time:factor(ageClass)84.5:factor(reg_name)Grand Est ***
## time:factor(ageClass)94.5:factor(reg_name)Grand Est ***
## time:factor(ageClass)14.5:factor(reg_name)Guadeloupe ***
## time:factor(ageClass)24.5:factor(reg_name)Guadeloupe ***
## time:factor(ageClass)34.5:factor(reg_name)Guadeloupe ***
## time:factor(ageClass)44.5:factor(reg_name)Guadeloupe ***
## time:factor(ageClass)54.5:factor(reg_name)Guadeloupe ***
## time:factor(ageClass)64.5:factor(reg_name)Guadeloupe ***
## time:factor(ageClass)74.5:factor(reg_name)Guadeloupe ***
## time:factor(ageClass)84.5:factor(reg_name)Guadeloupe ***
## time:factor(ageClass)94.5:factor(reg_name)Guadeloupe ***
## time:factor(ageClass)14.5:factor(reg_name)Guyane ***
## time:factor(ageClass)24.5:factor(reg_name)Guyane ***
## time:factor(ageClass)34.5:factor(reg_name)Guyane ***
## time:factor(ageClass)44.5:factor(reg_name)Guyane ***
## time:factor(ageClass)54.5:factor(reg_name)Guyane ***
## time:factor(ageClass)64.5:factor(reg_name)Guyane ***
## time:factor(ageClass)74.5:factor(reg_name)Guyane ***
## time:factor(ageClass)84.5:factor(reg_name)Guyane ***
## time:factor(ageClass)94.5:factor(reg_name)Guyane
## time:factor(ageClass)14.5:factor(reg_name)Hauts-de-France ***
## time:factor(ageClass)24.5:factor(reg_name)Hauts-de-France ***
## time:factor(ageClass)34.5:factor(reg_name)Hauts-de-France ***
## time:factor(ageClass)44.5:factor(reg_name)Hauts-de-France ***
## time:factor(ageClass)54.5:factor(reg_name)Hauts-de-France ***
## time:factor(ageClass)64.5:factor(reg_name)Hauts-de-France ***
## time:factor(ageClass)74.5:factor(reg_name)Hauts-de-France ***
## time:factor(ageClass)84.5:factor(reg_name)Hauts-de-France ***
## time:factor(ageClass)94.5:factor(reg_name)Hauts-de-France ***
## time:factor(ageClass)14.5:factor(reg_name)ÃŽle-de-France ***
## time:factor(ageClass)24.5:factor(reg_name)ÃŽle-de-France ***
## time:factor(ageClass)34.5:factor(reg_name)ÃŽle-de-France ***
## time:factor(ageClass)44.5:factor(reg_name)ÃŽle-de-France ***
## time:factor(ageClass)54.5:factor(reg_name)ÃŽle-de-France ***
## time:factor(ageClass)64.5:factor(reg_name)ÃŽle-de-France ***
## time:factor(ageClass)74.5:factor(reg_name)ÃŽle-de-France ***
## time:factor(ageClass)84.5:factor(reg_name)ÃŽle-de-France ***
## time:factor(ageClass)94.5:factor(reg_name)ÃŽle-de-France ***
## time:factor(ageClass)14.5:factor(reg_name)La Réunion ***
## time:factor(ageClass)24.5:factor(reg_name)La Réunion ***
## time:factor(ageClass)34.5:factor(reg_name)La Réunion ***
## time:factor(ageClass)44.5:factor(reg_name)La Réunion ***
## time:factor(ageClass)54.5:factor(reg_name)La Réunion ***
## time:factor(ageClass)64.5:factor(reg_name)La Réunion ***
## time:factor(ageClass)74.5:factor(reg_name)La Réunion ***
## time:factor(ageClass)84.5:factor(reg_name)La Réunion ***
## time:factor(ageClass)94.5:factor(reg_name)La Réunion ***
## time:factor(ageClass)14.5:factor(reg_name)Martinique ***
## time:factor(ageClass)24.5:factor(reg_name)Martinique ***
## time:factor(ageClass)34.5:factor(reg_name)Martinique ***
## time:factor(ageClass)44.5:factor(reg_name)Martinique ***
## time:factor(ageClass)54.5:factor(reg_name)Martinique ***
## time:factor(ageClass)64.5:factor(reg_name)Martinique ***
## time:factor(ageClass)74.5:factor(reg_name)Martinique ***
## time:factor(ageClass)84.5:factor(reg_name)Martinique ***
## time:factor(ageClass)94.5:factor(reg_name)Martinique ***
## time:factor(ageClass)14.5:factor(reg_name)Mayotte ***
## time:factor(ageClass)24.5:factor(reg_name)Mayotte ***
## time:factor(ageClass)34.5:factor(reg_name)Mayotte ***
## time:factor(ageClass)44.5:factor(reg_name)Mayotte ***
## time:factor(ageClass)54.5:factor(reg_name)Mayotte ***
## time:factor(ageClass)64.5:factor(reg_name)Mayotte ***
## time:factor(ageClass)74.5:factor(reg_name)Mayotte ***
## time:factor(ageClass)84.5:factor(reg_name)Mayotte ***
## time:factor(ageClass)94.5:factor(reg_name)Mayotte
## time:factor(ageClass)14.5:factor(reg_name)Normandie ***
## time:factor(ageClass)24.5:factor(reg_name)Normandie ***
## time:factor(ageClass)34.5:factor(reg_name)Normandie ***
## time:factor(ageClass)44.5:factor(reg_name)Normandie ***
## time:factor(ageClass)54.5:factor(reg_name)Normandie ***
## time:factor(ageClass)64.5:factor(reg_name)Normandie ***
## time:factor(ageClass)74.5:factor(reg_name)Normandie ***
## time:factor(ageClass)84.5:factor(reg_name)Normandie ***
## time:factor(ageClass)94.5:factor(reg_name)Normandie ***
## time:factor(ageClass)14.5:factor(reg_name)Nouvelle-Aquitaine ***
## time:factor(ageClass)24.5:factor(reg_name)Nouvelle-Aquitaine ***
## time:factor(ageClass)34.5:factor(reg_name)Nouvelle-Aquitaine ***
## time:factor(ageClass)44.5:factor(reg_name)Nouvelle-Aquitaine ***
## time:factor(ageClass)54.5:factor(reg_name)Nouvelle-Aquitaine ***
## time:factor(ageClass)64.5:factor(reg_name)Nouvelle-Aquitaine ***
## time:factor(ageClass)74.5:factor(reg_name)Nouvelle-Aquitaine ***
## time:factor(ageClass)84.5:factor(reg_name)Nouvelle-Aquitaine ***
## time:factor(ageClass)94.5:factor(reg_name)Nouvelle-Aquitaine ***
## time:factor(ageClass)14.5:factor(reg_name)Occitanie ***
## time:factor(ageClass)24.5:factor(reg_name)Occitanie ***
## time:factor(ageClass)34.5:factor(reg_name)Occitanie ***
## time:factor(ageClass)44.5:factor(reg_name)Occitanie ***
## time:factor(ageClass)54.5:factor(reg_name)Occitanie ***
## time:factor(ageClass)64.5:factor(reg_name)Occitanie ***
## time:factor(ageClass)74.5:factor(reg_name)Occitanie ***
## time:factor(ageClass)84.5:factor(reg_name)Occitanie ***
## time:factor(ageClass)94.5:factor(reg_name)Occitanie ***
## time:factor(ageClass)14.5:factor(reg_name)Pays de la Loire ***
## time:factor(ageClass)24.5:factor(reg_name)Pays de la Loire ***
## time:factor(ageClass)34.5:factor(reg_name)Pays de la Loire ***
## time:factor(ageClass)44.5:factor(reg_name)Pays de la Loire ***
## time:factor(ageClass)54.5:factor(reg_name)Pays de la Loire ***
## time:factor(ageClass)64.5:factor(reg_name)Pays de la Loire ***
## time:factor(ageClass)74.5:factor(reg_name)Pays de la Loire ***
## time:factor(ageClass)84.5:factor(reg_name)Pays de la Loire ***
## time:factor(ageClass)94.5:factor(reg_name)Pays de la Loire ***
## time:factor(ageClass)14.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## time:factor(ageClass)24.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## time:factor(ageClass)34.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## time:factor(ageClass)44.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## time:factor(ageClass)54.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## time:factor(ageClass)64.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## time:factor(ageClass)74.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## time:factor(ageClass)84.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## time:factor(ageClass)94.5:factor(reg_name)Provence-Alpes-Côte d'Azur ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 493646 on 7868 degrees of freedom
## Residual deviance: 170456905 on 7513 degrees of freedom
## (1380 observations deleted due to missingness)
## AIC: 170499019
##
## Number of Fisher Scoring iterations: 25# Without interaction
mdl1 <- glm(cbind(V1, notV1) ~ time*factor(reg_name) + factor(ageClass), data = dat.regions.ages, family = "binomial")
summary(mdl1)##
## Call:
## glm(formula = cbind(V1, notV1) ~ time * factor(reg_name) + factor(ageClass),
## family = "binomial", data = dat.regions.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -9.8325 -0.9407 0.0000 1.0774 6.0441
##
## Coefficients:
## Estimate Std. Error z value
## (Intercept) -4.079e-01 6.993e-03 -58.326
## time 5.220e-02 2.238e-04 233.176
## factor(reg_name)Bourgogne-Franche-Comté -5.215e-01 1.183e-02 -44.078
## factor(reg_name)Bretagne 6.565e-01 1.286e-02 51.037
## factor(reg_name)Centre-Val de Loire 1.480e-01 1.242e-02 11.919
## factor(reg_name)Corse 1.031e+00 3.809e-02 27.080
## factor(reg_name)Grand Est -3.814e-01 8.962e-03 -42.561
## factor(reg_name)Guadeloupe 1.673e+00 9.251e-02 18.086
## factor(reg_name)Guyane -6.998e-01 1.395e-01 -5.017
## factor(reg_name)Hauts-de-France 6.126e-01 7.592e-03 80.702
## factor(reg_name)ÃŽle-de-France 7.170e-01 6.959e-03 103.038
## factor(reg_name)La Réunion -2.362e+00 5.111e-02 -46.211
## factor(reg_name)Martinique 2.757e-01 7.853e-02 3.511
## factor(reg_name)Mayotte -4.962e+00 2.504e-01 -19.819
## factor(reg_name)Normandie 2.788e-01 1.101e-02 25.325
## factor(reg_name)Nouvelle-Aquitaine 1.572e-02 1.050e-02 1.497
## factor(reg_name)Occitanie 3.534e-01 9.060e-03 39.005
## factor(reg_name)Pays de la Loire 1.356e-02 1.049e-02 1.293
## factor(reg_name)Provence-Alpes-Côte d'Azur 4.408e-01 8.051e-03 54.755
## factor(ageClass)14.5 1.092e-01 4.831e-03 22.604
## factor(ageClass)24.5 6.150e-02 4.796e-03 12.824
## factor(ageClass)34.5 9.044e-02 4.800e-03 18.841
## factor(ageClass)44.5 1.193e-01 4.803e-03 24.832
## factor(ageClass)54.5 4.743e-02 4.862e-03 9.755
## factor(ageClass)64.5 -2.691e-02 5.123e-03 -5.252
## factor(ageClass)74.5 -1.823e-01 5.642e-03 -32.302
## factor(ageClass)84.5 -4.153e-01 6.259e-03 -66.356
## factor(ageClass)94.5 -5.860e-01 8.213e-03 -71.352
## time:factor(reg_name)Bourgogne-Franche-Comté 1.051e-02 4.550e-04 23.093
## time:factor(reg_name)Bretagne -1.356e-02 5.168e-04 -26.231
## time:factor(reg_name)Centre-Val de Loire -8.868e-03 4.745e-04 -18.689
## time:factor(reg_name)Corse -1.973e-02 1.553e-03 -12.711
## time:factor(reg_name)Grand Est -1.016e-02 3.359e-04 -30.262
## time:factor(reg_name)Guadeloupe -1.257e-02 4.007e-03 -3.136
## time:factor(reg_name)Guyane -6.223e-02 4.552e-03 -13.672
## time:factor(reg_name)Hauts-de-France -1.743e-02 2.985e-04 -58.397
## time:factor(reg_name)ÃŽle-de-France -2.725e-02 2.702e-04 -100.828
## time:factor(reg_name)La Réunion -3.622e-02 1.788e-03 -20.249
## time:factor(reg_name)Martinique 2.987e-02 3.052e-03 9.787
## time:factor(reg_name)Mayotte -1.132e-03 1.068e-02 -0.106
## time:factor(reg_name)Normandie -1.359e-02 4.214e-04 -32.242
## time:factor(reg_name)Nouvelle-Aquitaine -7.121e-05 4.110e-04 -0.173
## time:factor(reg_name)Occitanie -9.366e-03 3.519e-04 -26.615
## time:factor(reg_name)Pays de la Loire -7.925e-03 4.008e-04 -19.771
## time:factor(reg_name)Provence-Alpes-Côte d'Azur -5.925e-03 3.296e-04 -17.976
## Pr(>|z|)
## (Intercept) < 2e-16 ***
## time < 2e-16 ***
## factor(reg_name)Bourgogne-Franche-Comté < 2e-16 ***
## factor(reg_name)Bretagne < 2e-16 ***
## factor(reg_name)Centre-Val de Loire < 2e-16 ***
## factor(reg_name)Corse < 2e-16 ***
## factor(reg_name)Grand Est < 2e-16 ***
## factor(reg_name)Guadeloupe < 2e-16 ***
## factor(reg_name)Guyane 5.24e-07 ***
## factor(reg_name)Hauts-de-France < 2e-16 ***
## factor(reg_name)ÃŽle-de-France < 2e-16 ***
## factor(reg_name)La Réunion < 2e-16 ***
## factor(reg_name)Martinique 0.000447 ***
## factor(reg_name)Mayotte < 2e-16 ***
## factor(reg_name)Normandie < 2e-16 ***
## factor(reg_name)Nouvelle-Aquitaine 0.134269
## factor(reg_name)Occitanie < 2e-16 ***
## factor(reg_name)Pays de la Loire 0.195988
## factor(reg_name)Provence-Alpes-Côte d'Azur < 2e-16 ***
## factor(ageClass)14.5 < 2e-16 ***
## factor(ageClass)24.5 < 2e-16 ***
## factor(ageClass)34.5 < 2e-16 ***
## factor(ageClass)44.5 < 2e-16 ***
## factor(ageClass)54.5 < 2e-16 ***
## factor(ageClass)64.5 1.50e-07 ***
## factor(ageClass)74.5 < 2e-16 ***
## factor(ageClass)84.5 < 2e-16 ***
## factor(ageClass)94.5 < 2e-16 ***
## time:factor(reg_name)Bourgogne-Franche-Comté < 2e-16 ***
## time:factor(reg_name)Bretagne < 2e-16 ***
## time:factor(reg_name)Centre-Val de Loire < 2e-16 ***
## time:factor(reg_name)Corse < 2e-16 ***
## time:factor(reg_name)Grand Est < 2e-16 ***
## time:factor(reg_name)Guadeloupe 0.001710 **
## time:factor(reg_name)Guyane < 2e-16 ***
## time:factor(reg_name)Hauts-de-France < 2e-16 ***
## time:factor(reg_name)ÃŽle-de-France < 2e-16 ***
## time:factor(reg_name)La Réunion < 2e-16 ***
## time:factor(reg_name)Martinique < 2e-16 ***
## time:factor(reg_name)Mayotte 0.915579
## time:factor(reg_name)Normandie < 2e-16 ***
## time:factor(reg_name)Nouvelle-Aquitaine 0.862454
## time:factor(reg_name)Occitanie < 2e-16 ***
## time:factor(reg_name)Pays de la Loire < 2e-16 ***
## time:factor(reg_name)Provence-Alpes-Côte d'Azur < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 493646 on 7868 degrees of freedom
## Residual deviance: 27468 on 7824 degrees of freedom
## (1380 observations deleted due to missingness)
## AIC: 68960
##
## Number of Fisher Scoring iterations: 5# Without interaction
mdl1bis <- glm(cbind(V1, notV1) ~ time*factor(ageClass) + factor(reg_name), data = dat.regions.ages, family = "binomial")
summary(mdl1bis)##
## Call:
## glm(formula = cbind(V1, notV1) ~ time * factor(ageClass) + factor(reg_name),
## family = "binomial", data = dat.regions.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -16.229 -1.051 0.000 1.296 8.444
##
## Coefficients:
## Estimate Std. Error z value
## (Intercept) 0.1801623 0.0093435 19.282
## time 0.0271462 0.0003168 85.682
## factor(ageClass)14.5 -0.1595459 0.0103735 -15.380
## factor(ageClass)24.5 -0.2066768 0.0102353 -20.193
## factor(ageClass)34.5 -0.1788515 0.0102316 -17.480
## factor(ageClass)44.5 -0.1935203 0.0102198 -18.936
## factor(ageClass)54.5 -0.2984779 0.0103136 -28.940
## factor(ageClass)64.5 -0.3943303 0.0108248 -36.429
## factor(ageClass)74.5 -0.6226341 0.0117457 -53.009
## factor(ageClass)84.5 -0.9541698 0.0127690 -74.725
## factor(ageClass)94.5 -1.1258602 0.0159675 -70.509
## factor(reg_name)Bourgogne-Franche-Comté -0.2671087 0.0056575 -47.213
## factor(reg_name)Bretagne 0.3562504 0.0066870 53.275
## factor(reg_name)Centre-Val de Loire -0.0455180 0.0060176 -7.564
## factor(reg_name)Corse 0.6013311 0.0193395 31.093
## factor(reg_name)Grand Est -0.6048541 0.0042801 -141.319
## factor(reg_name)Guadeloupe 1.3871869 0.0477801 29.033
## factor(reg_name)Guyane -2.4720472 0.0625335 -39.532
## factor(reg_name)Hauts-de-France 0.2277821 0.0038360 59.380
## factor(reg_name)ÃŽle-de-France 0.1055952 0.0034510 30.598
## factor(reg_name)La Réunion -3.2861382 0.0220425 -149.082
## factor(reg_name)Martinique 1.0277143 0.0364524 28.193
## factor(reg_name)Mayotte -5.0158214 0.1345101 -37.290
## factor(reg_name)Normandie -0.0256991 0.0054077 -4.752
## factor(reg_name)Nouvelle-Aquitaine 0.0156486 0.0052282 2.993
## factor(reg_name)Occitanie 0.1447890 0.0046086 31.417
## factor(reg_name)Pays de la Loire -0.1589867 0.0052183 -30.467
## factor(reg_name)Provence-Alpes-Côte d'Azur 0.2946971 0.0042313 69.646
## time:factor(ageClass)14.5 0.0107809 0.0003724 28.948
## time:factor(ageClass)24.5 0.0107435 0.0003710 28.955
## time:factor(ageClass)34.5 0.0107406 0.0003702 29.015
## time:factor(ageClass)44.5 0.0127260 0.0003703 34.367
## time:factor(ageClass)54.5 0.0141942 0.0003754 37.813
## time:factor(ageClass)64.5 0.0151869 0.0003971 38.247
## time:factor(ageClass)74.5 0.0186556 0.0004389 42.507
## time:factor(ageClass)84.5 0.0233903 0.0004878 47.948
## time:factor(ageClass)94.5 0.0235193 0.0006314 37.250
## Pr(>|z|)
## (Intercept) < 2e-16 ***
## time < 2e-16 ***
## factor(ageClass)14.5 < 2e-16 ***
## factor(ageClass)24.5 < 2e-16 ***
## factor(ageClass)34.5 < 2e-16 ***
## factor(ageClass)44.5 < 2e-16 ***
## factor(ageClass)54.5 < 2e-16 ***
## factor(ageClass)64.5 < 2e-16 ***
## factor(ageClass)74.5 < 2e-16 ***
## factor(ageClass)84.5 < 2e-16 ***
## factor(ageClass)94.5 < 2e-16 ***
## factor(reg_name)Bourgogne-Franche-Comté < 2e-16 ***
## factor(reg_name)Bretagne < 2e-16 ***
## factor(reg_name)Centre-Val de Loire 3.90e-14 ***
## factor(reg_name)Corse < 2e-16 ***
## factor(reg_name)Grand Est < 2e-16 ***
## factor(reg_name)Guadeloupe < 2e-16 ***
## factor(reg_name)Guyane < 2e-16 ***
## factor(reg_name)Hauts-de-France < 2e-16 ***
## factor(reg_name)ÃŽle-de-France < 2e-16 ***
## factor(reg_name)La Réunion < 2e-16 ***
## factor(reg_name)Martinique < 2e-16 ***
## factor(reg_name)Mayotte < 2e-16 ***
## factor(reg_name)Normandie 2.01e-06 ***
## factor(reg_name)Nouvelle-Aquitaine 0.00276 **
## factor(reg_name)Occitanie < 2e-16 ***
## factor(reg_name)Pays de la Loire < 2e-16 ***
## factor(reg_name)Provence-Alpes-Côte d'Azur < 2e-16 ***
## time:factor(ageClass)14.5 < 2e-16 ***
## time:factor(ageClass)24.5 < 2e-16 ***
## time:factor(ageClass)34.5 < 2e-16 ***
## time:factor(ageClass)44.5 < 2e-16 ***
## time:factor(ageClass)54.5 < 2e-16 ***
## time:factor(ageClass)64.5 < 2e-16 ***
## time:factor(ageClass)74.5 < 2e-16 ***
## time:factor(ageClass)84.5 < 2e-16 ***
## time:factor(ageClass)94.5 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 493646 on 7868 degrees of freedom
## Residual deviance: 43616 on 7832 degrees of freedom
## (1380 observations deleted due to missingness)
## AIC: 85092
##
## Number of Fisher Scoring iterations: 5# Without interaction at all
mdl2 <- glm(cbind(V1, notV1) ~ time + factor(ageClass) + factor(reg_name), data = dat.regions.ages, family = "binomial")
summary(mdl2)##
## Call:
## glm(formula = cbind(V1, notV1) ~ time + factor(ageClass) + factor(reg_name),
## family = "binomial", data = dat.regions.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -17.2131 -1.0066 0.0195 1.4043 9.4513
##
## Coefficients:
## Estimate Std. Error z value
## (Intercept) -1.335e-01 5.238e-03 -25.487
## time 3.976e-02 7.453e-05 533.481
## factor(ageClass)14.5 1.117e-01 4.824e-03 23.144
## factor(ageClass)24.5 6.581e-02 4.790e-03 13.737
## factor(ageClass)34.5 9.333e-02 4.795e-03 19.464
## factor(ageClass)44.5 1.229e-01 4.798e-03 25.621
## factor(ageClass)54.5 5.009e-02 4.855e-03 10.317
## factor(ageClass)64.5 -2.379e-02 5.116e-03 -4.651
## factor(ageClass)74.5 -1.780e-01 5.628e-03 -31.626
## factor(ageClass)84.5 -4.137e-01 6.241e-03 -66.297
## factor(ageClass)94.5 -5.897e-01 8.180e-03 -72.086
## factor(reg_name)Bourgogne-Franche-Comté -2.678e-01 5.653e-03 -47.382
## factor(reg_name)Bretagne 3.557e-01 6.683e-03 53.216
## factor(reg_name)Centre-Val de Loire -4.649e-02 6.011e-03 -7.733
## factor(reg_name)Corse 6.019e-01 1.931e-02 31.162
## factor(reg_name)Grand Est -6.031e-01 4.279e-03 -140.955
## factor(reg_name)Guadeloupe 1.393e+00 4.776e-02 29.173
## factor(reg_name)Guyane -2.470e+00 6.255e-02 -39.485
## factor(reg_name)Hauts-de-France 2.274e-01 3.834e-03 59.313
## factor(reg_name)ÃŽle-de-France 1.055e-01 3.450e-03 30.569
## factor(reg_name)La Réunion -3.288e+00 2.205e-02 -149.114
## factor(reg_name)Martinique 1.029e+00 3.641e-02 28.267
## factor(reg_name)Mayotte -5.025e+00 1.345e-01 -37.368
## factor(reg_name)Normandie -2.481e-02 5.404e-03 -4.592
## factor(reg_name)Nouvelle-Aquitaine 1.509e-02 5.225e-03 2.889
## factor(reg_name)Occitanie 1.446e-01 4.604e-03 31.407
## factor(reg_name)Pays de la Loire -1.598e-01 5.216e-03 -30.644
## factor(reg_name)Provence-Alpes-Côte d'Azur 2.923e-01 4.226e-03 69.170
## Pr(>|z|)
## (Intercept) < 2e-16 ***
## time < 2e-16 ***
## factor(ageClass)14.5 < 2e-16 ***
## factor(ageClass)24.5 < 2e-16 ***
## factor(ageClass)34.5 < 2e-16 ***
## factor(ageClass)44.5 < 2e-16 ***
## factor(ageClass)54.5 < 2e-16 ***
## factor(ageClass)64.5 3.30e-06 ***
## factor(ageClass)74.5 < 2e-16 ***
## factor(ageClass)84.5 < 2e-16 ***
## factor(ageClass)94.5 < 2e-16 ***
## factor(reg_name)Bourgogne-Franche-Comté < 2e-16 ***
## factor(reg_name)Bretagne < 2e-16 ***
## factor(reg_name)Centre-Val de Loire 1.05e-14 ***
## factor(reg_name)Corse < 2e-16 ***
## factor(reg_name)Grand Est < 2e-16 ***
## factor(reg_name)Guadeloupe < 2e-16 ***
## factor(reg_name)Guyane < 2e-16 ***
## factor(reg_name)Hauts-de-France < 2e-16 ***
## factor(reg_name)ÃŽle-de-France < 2e-16 ***
## factor(reg_name)La Réunion < 2e-16 ***
## factor(reg_name)Martinique < 2e-16 ***
## factor(reg_name)Mayotte < 2e-16 ***
## factor(reg_name)Normandie 4.39e-06 ***
## factor(reg_name)Nouvelle-Aquitaine 0.00387 **
## factor(reg_name)Occitanie < 2e-16 ***
## factor(reg_name)Pays de la Loire < 2e-16 ***
## factor(reg_name)Provence-Alpes-Côte d'Azur < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 493646 on 7868 degrees of freedom
## Residual deviance: 47313 on 7841 degrees of freedom
## (1380 observations deleted due to missingness)
## AIC: 88771
##
## Number of Fisher Scoring iterations: 5## Likelihood ratio tests
anova(mdl1, mdl0, test="Chisq")## Analysis of Deviance Table
##
## Model 1: cbind(V1, notV1) ~ time * factor(reg_name) + factor(ageClass)
## Model 2: cbind(V1, notV1) ~ time * factor(ageClass) * factor(reg_name)
## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
## 1 7824 27468
## 2 7513 170456905 311 -170429437anova(mdl1bis, mdl0, test="Chisq")## Analysis of Deviance Table
##
## Model 1: cbind(V1, notV1) ~ time * factor(ageClass) + factor(reg_name)
## Model 2: cbind(V1, notV1) ~ time * factor(ageClass) * factor(reg_name)
## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
## 1 7832 43616
## 2 7513 170456905 319 -170413289anova(mdl2, mdl0, test="Chisq")## Analysis of Deviance Table
##
## Model 1: cbind(V1, notV1) ~ time + factor(ageClass) + factor(reg_name)
## Model 2: cbind(V1, notV1) ~ time * factor(ageClass) * factor(reg_name)
## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
## 1 7841 47313
## 2 7513 170456905 328 -170409592- Age as quantitative
mdl3 <- glm(cbind(V1, notV1) ~ time * ageClass * factor(reg_name), data = dat.regions.ages, family = "binomial")
summary(mdl3)##
## Call:
## glm(formula = cbind(V1, notV1) ~ time * ageClass * factor(reg_name),
## family = "binomial", data = dat.regions.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -11.1324 -1.3027 -0.0515 0.9351 7.6122
##
## Coefficients:
## Estimate Std. Error
## (Intercept) 5.097e-02 1.218e-02
## time 4.502e-02 4.738e-04
## ageClass -1.051e-02 2.547e-04
## factor(reg_name)Bourgogne-Franche-Comté -6.166e-01 2.536e-02
## factor(reg_name)Bretagne 4.464e-01 2.665e-02
## factor(reg_name)Centre-Val de Loire 2.466e-01 2.693e-02
## factor(reg_name)Corse 6.009e-01 8.795e-02
## factor(reg_name)Grand Est -6.148e-01 1.884e-02
## factor(reg_name)Guadeloupe 1.533e+00 2.434e-01
## factor(reg_name)Guyane -2.115e+00 3.398e-01
## factor(reg_name)Hauts-de-France 4.895e-01 1.618e-02
## factor(reg_name)ÃŽle-de-France 6.291e-01 1.499e-02
## factor(reg_name)La Réunion -2.608e+00 1.114e-01
## factor(reg_name)Martinique 6.464e-01 1.954e-01
## factor(reg_name)Mayotte -7.269e+00 1.534e+00
## factor(reg_name)Normandie 2.080e-01 2.367e-02
## factor(reg_name)Nouvelle-Aquitaine 2.038e-01 2.242e-02
## factor(reg_name)Occitanie 3.018e-01 1.941e-02
## factor(reg_name)Pays de la Loire -1.688e-01 2.194e-02
## factor(reg_name)Provence-Alpes-Côte d'Azur 4.487e-01 1.760e-02
## time:ageClass 1.721e-04 1.009e-05
## time:factor(reg_name)Bourgogne-Franche-Comté 1.455e-02 9.682e-04
## time:factor(reg_name)Bretagne -8.746e-03 1.062e-03
## time:factor(reg_name)Centre-Val de Loire -1.897e-02 1.007e-03
## time:factor(reg_name)Corse -1.389e-02 3.514e-03
## time:factor(reg_name)Grand Est -5.088e-03 7.021e-04
## time:factor(reg_name)Guadeloupe 7.319e-03 1.119e-02
## time:factor(reg_name)Guyane -3.164e-02 1.140e-02
## time:factor(reg_name)Hauts-de-France -1.865e-02 6.270e-04
## time:factor(reg_name)ÃŽle-de-France -2.918e-02 5.755e-04
## time:factor(reg_name)La Réunion -4.355e-02 3.923e-03
## time:factor(reg_name)Martinique 2.391e-02 7.798e-03
## time:factor(reg_name)Mayotte 1.239e-01 4.709e-02
## time:factor(reg_name)Normandie -1.248e-02 8.911e-04
## time:factor(reg_name)Nouvelle-Aquitaine -3.372e-03 8.685e-04
## time:factor(reg_name)Occitanie -1.182e-02 7.457e-04
## time:factor(reg_name)Pays de la Loire -6.662e-03 8.276e-04
## time:factor(reg_name)Provence-Alpes-Côte d'Azur -8.982e-03 7.115e-04
## ageClass:factor(reg_name)Bourgogne-Franche-Comté 2.394e-03 5.169e-04
## ageClass:factor(reg_name)Bretagne 4.815e-03 5.672e-04
## ageClass:factor(reg_name)Centre-Val de Loire -2.128e-03 5.406e-04
## ageClass:factor(reg_name)Corse 9.834e-03 1.747e-03
## ageClass:factor(reg_name)Grand Est 5.535e-03 3.980e-04
## ageClass:factor(reg_name)Guadeloupe 3.589e-03 5.055e-03
## ageClass:factor(reg_name)Guyane 3.912e-02 8.050e-03
## ageClass:factor(reg_name)Hauts-de-France 2.877e-03 3.398e-04
## ageClass:factor(reg_name)ÃŽle-de-France 2.143e-03 3.174e-04
## ageClass:factor(reg_name)La Réunion 6.533e-03 2.618e-03
## ageClass:factor(reg_name)Martinique -7.305e-03 3.772e-03
## ageClass:factor(reg_name)Mayotte 4.359e-02 2.484e-02
## ageClass:factor(reg_name)Normandie 1.870e-03 4.857e-04
## ageClass:factor(reg_name)Nouvelle-Aquitaine -4.389e-03 4.674e-04
## ageClass:factor(reg_name)Occitanie 1.273e-03 3.954e-04
## ageClass:factor(reg_name)Pays de la Loire 4.147e-03 4.596e-04
## ageClass:factor(reg_name)Provence-Alpes-Côte d'Azur 1.949e-04 3.580e-04
## time:ageClass:factor(reg_name)Bourgogne-Franche-Comté -1.027e-04 2.000e-05
## time:ageClass:factor(reg_name)Bretagne -1.083e-04 2.316e-05
## time:ageClass:factor(reg_name)Centre-Val de Loire 2.367e-04 2.100e-05
## time:ageClass:factor(reg_name)Corse -1.433e-04 7.071e-05
## time:ageClass:factor(reg_name)Grand Est -1.212e-04 1.500e-05
## time:ageClass:factor(reg_name)Guadeloupe -4.047e-04 2.141e-04
## time:ageClass:factor(reg_name)Guyane -8.452e-04 2.606e-04
## time:ageClass:factor(reg_name)Hauts-de-France 3.662e-05 1.350e-05
## time:ageClass:factor(reg_name)ÃŽle-de-France 5.864e-05 1.244e-05
## time:ageClass:factor(reg_name)La Réunion 1.904e-04 8.985e-05
## time:ageClass:factor(reg_name)Martinique 1.238e-04 1.530e-04
## time:ageClass:factor(reg_name)Mayotte -2.376e-03 8.148e-04
## time:ageClass:factor(reg_name)Normandie -3.493e-05 1.862e-05
## time:ageClass:factor(reg_name)Nouvelle-Aquitaine 7.235e-05 1.845e-05
## time:ageClass:factor(reg_name)Occitanie 5.492e-05 1.556e-05
## time:ageClass:factor(reg_name)Pays de la Loire -2.224e-05 1.780e-05
## time:ageClass:factor(reg_name)Provence-Alpes-Côte d'Azur 6.313e-05 1.486e-05
## z value Pr(>|z|)
## (Intercept) 4.186 2.84e-05 ***
## time 95.026 < 2e-16 ***
## ageClass -41.285 < 2e-16 ***
## factor(reg_name)Bourgogne-Franche-Comté -24.315 < 2e-16 ***
## factor(reg_name)Bretagne 16.753 < 2e-16 ***
## factor(reg_name)Centre-Val de Loire 9.157 < 2e-16 ***
## factor(reg_name)Corse 6.832 8.36e-12 ***
## factor(reg_name)Grand Est -32.641 < 2e-16 ***
## factor(reg_name)Guadeloupe 6.298 3.02e-10 ***
## factor(reg_name)Guyane -6.225 4.81e-10 ***
## factor(reg_name)Hauts-de-France 30.249 < 2e-16 ***
## factor(reg_name)ÃŽle-de-France 41.981 < 2e-16 ***
## factor(reg_name)La Réunion -23.413 < 2e-16 ***
## factor(reg_name)Martinique 3.309 0.000937 ***
## factor(reg_name)Mayotte -4.738 2.16e-06 ***
## factor(reg_name)Normandie 8.786 < 2e-16 ***
## factor(reg_name)Nouvelle-Aquitaine 9.090 < 2e-16 ***
## factor(reg_name)Occitanie 15.547 < 2e-16 ***
## factor(reg_name)Pays de la Loire -7.695 1.42e-14 ***
## factor(reg_name)Provence-Alpes-Côte d'Azur 25.490 < 2e-16 ***
## time:ageClass 17.051 < 2e-16 ***
## time:factor(reg_name)Bourgogne-Franche-Comté 15.026 < 2e-16 ***
## time:factor(reg_name)Bretagne -8.235 < 2e-16 ***
## time:factor(reg_name)Centre-Val de Loire -18.833 < 2e-16 ***
## time:factor(reg_name)Corse -3.952 7.76e-05 ***
## time:factor(reg_name)Grand Est -7.247 4.25e-13 ***
## time:factor(reg_name)Guadeloupe 0.654 0.513050
## time:factor(reg_name)Guyane -2.775 0.005527 **
## time:factor(reg_name)Hauts-de-France -29.739 < 2e-16 ***
## time:factor(reg_name)ÃŽle-de-France -50.699 < 2e-16 ***
## time:factor(reg_name)La Réunion -11.100 < 2e-16 ***
## time:factor(reg_name)Martinique 3.065 0.002173 **
## time:factor(reg_name)Mayotte 2.632 0.008489 **
## time:factor(reg_name)Normandie -14.006 < 2e-16 ***
## time:factor(reg_name)Nouvelle-Aquitaine -3.883 0.000103 ***
## time:factor(reg_name)Occitanie -15.847 < 2e-16 ***
## time:factor(reg_name)Pays de la Loire -8.050 8.27e-16 ***
## time:factor(reg_name)Provence-Alpes-Côte d'Azur -12.624 < 2e-16 ***
## ageClass:factor(reg_name)Bourgogne-Franche-Comté 4.631 3.64e-06 ***
## ageClass:factor(reg_name)Bretagne 8.489 < 2e-16 ***
## ageClass:factor(reg_name)Centre-Val de Loire -3.935 8.30e-05 ***
## ageClass:factor(reg_name)Corse 5.630 1.80e-08 ***
## ageClass:factor(reg_name)Grand Est 13.907 < 2e-16 ***
## ageClass:factor(reg_name)Guadeloupe 0.710 0.477663
## ageClass:factor(reg_name)Guyane 4.859 1.18e-06 ***
## ageClass:factor(reg_name)Hauts-de-France 8.466 < 2e-16 ***
## ageClass:factor(reg_name)ÃŽle-de-France 6.753 1.45e-11 ***
## ageClass:factor(reg_name)La Réunion 2.496 0.012576 *
## ageClass:factor(reg_name)Martinique -1.936 0.052811 .
## ageClass:factor(reg_name)Mayotte 1.755 0.079264 .
## ageClass:factor(reg_name)Normandie 3.850 0.000118 ***
## ageClass:factor(reg_name)Nouvelle-Aquitaine -9.390 < 2e-16 ***
## ageClass:factor(reg_name)Occitanie 3.220 0.001281 **
## ageClass:factor(reg_name)Pays de la Loire 9.025 < 2e-16 ***
## ageClass:factor(reg_name)Provence-Alpes-Côte d'Azur 0.544 0.586133
## time:ageClass:factor(reg_name)Bourgogne-Franche-Comté -5.135 2.82e-07 ***
## time:ageClass:factor(reg_name)Bretagne -4.675 2.93e-06 ***
## time:ageClass:factor(reg_name)Centre-Val de Loire 11.273 < 2e-16 ***
## time:ageClass:factor(reg_name)Corse -2.026 0.042787 *
## time:ageClass:factor(reg_name)Grand Est -8.080 6.50e-16 ***
## time:ageClass:factor(reg_name)Guadeloupe -1.890 0.058724 .
## time:ageClass:factor(reg_name)Guyane -3.243 0.001183 **
## time:ageClass:factor(reg_name)Hauts-de-France 2.713 0.006668 **
## time:ageClass:factor(reg_name)ÃŽle-de-France 4.714 2.43e-06 ***
## time:ageClass:factor(reg_name)La Réunion 2.119 0.034113 *
## time:ageClass:factor(reg_name)Martinique 0.809 0.418532
## time:ageClass:factor(reg_name)Mayotte -2.916 0.003540 **
## time:ageClass:factor(reg_name)Normandie -1.877 0.060586 .
## time:ageClass:factor(reg_name)Nouvelle-Aquitaine 3.922 8.77e-05 ***
## time:ageClass:factor(reg_name)Occitanie 3.529 0.000417 ***
## time:ageClass:factor(reg_name)Pays de la Loire -1.249 0.211621
## time:ageClass:factor(reg_name)Provence-Alpes-Côte d'Azur 4.248 2.16e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 493646 on 7868 degrees of freedom
## Residual deviance: 33531 on 7797 degrees of freedom
## (1380 observations deleted due to missingness)
## AIC: 75077
##
## Number of Fisher Scoring iterations: 6## Likelihood ratio test
anova(mdl3, mdl0, test="Chisq")## Analysis of Deviance Table
##
## Model 1: cbind(V1, notV1) ~ time * ageClass * factor(reg_name)
## Model 2: cbind(V1, notV1) ~ time * factor(ageClass) * factor(reg_name)
## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
## 1 7797 33531
## 2 7513 170456905 284 -170423374# GLM
# Assuming that all IND (indetermine) are non-V1
mdl <- glm(cbind(V1, notV1) ~ date2 * as.factor(ageClass) + reg_name.fac, data = dat.regions.ages, family = "binomial")
summary(mdl)##
## Call:
## glm(formula = cbind(V1, notV1) ~ date2 * as.factor(ageClass) +
## reg_name.fac, family = "binomial", data = dat.regions.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -16.229 -1.051 0.000 1.296 8.444
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -5.068e+02 5.925e+00 -85.536 < 2e-16
## date2 2.715e-02 3.168e-04 85.682 < 2e-16
## as.factor(ageClass)14.5 -2.015e+02 6.964e+00 -28.933 < 2e-16
## as.factor(ageClass)24.5 -2.009e+02 6.939e+00 -28.947 < 2e-16
## as.factor(ageClass)34.5 -2.008e+02 6.922e+00 -29.003 < 2e-16
## as.factor(ageClass)44.5 -2.379e+02 6.925e+00 -34.350 < 2e-16
## as.factor(ageClass)54.5 -2.654e+02 7.020e+00 -37.806 < 2e-16
## as.factor(ageClass)64.5 -2.840e+02 7.425e+00 -38.251 < 2e-16
## as.factor(ageClass)74.5 -3.490e+02 8.207e+00 -42.530 < 2e-16
## as.factor(ageClass)84.5 -4.378e+02 9.122e+00 -47.995 < 2e-16
## as.factor(ageClass)94.5 -4.404e+02 1.181e+01 -37.303 < 2e-16
## reg_name.facBourgogne-Franche-Comté -2.671e-01 5.658e-03 -47.213 < 2e-16
## reg_name.facBretagne 3.563e-01 6.687e-03 53.275 < 2e-16
## reg_name.facCentre-Val de Loire -4.552e-02 6.018e-03 -7.564 3.90e-14
## reg_name.facCorse 6.013e-01 1.934e-02 31.093 < 2e-16
## reg_name.facGrand Est -6.049e-01 4.280e-03 -141.319 < 2e-16
## reg_name.facGuadeloupe 1.387e+00 4.778e-02 29.033 < 2e-16
## reg_name.facGuyane -2.472e+00 6.253e-02 -39.532 < 2e-16
## reg_name.facHauts-de-France 2.278e-01 3.836e-03 59.380 < 2e-16
## reg_name.facÃŽle-de-France 1.056e-01 3.451e-03 30.598 < 2e-16
## reg_name.facLa Réunion -3.286e+00 2.204e-02 -149.082 < 2e-16
## reg_name.facMartinique 1.028e+00 3.645e-02 28.193 < 2e-16
## reg_name.facMayotte -5.016e+00 1.345e-01 -37.290 < 2e-16
## reg_name.facNormandie -2.570e-02 5.408e-03 -4.752 2.01e-06
## reg_name.facNouvelle-Aquitaine 1.565e-02 5.228e-03 2.993 0.00276
## reg_name.facOccitanie 1.448e-01 4.609e-03 31.417 < 2e-16
## reg_name.facPays de la Loire -1.590e-01 5.218e-03 -30.467 < 2e-16
## reg_name.facProvence-Alpes-Côte d'Azur 2.947e-01 4.231e-03 69.646 < 2e-16
## date2:as.factor(ageClass)14.5 1.078e-02 3.724e-04 28.948 < 2e-16
## date2:as.factor(ageClass)24.5 1.074e-02 3.710e-04 28.955 < 2e-16
## date2:as.factor(ageClass)34.5 1.074e-02 3.702e-04 29.015 < 2e-16
## date2:as.factor(ageClass)44.5 1.273e-02 3.703e-04 34.367 < 2e-16
## date2:as.factor(ageClass)54.5 1.419e-02 3.754e-04 37.813 < 2e-16
## date2:as.factor(ageClass)64.5 1.519e-02 3.971e-04 38.247 < 2e-16
## date2:as.factor(ageClass)74.5 1.866e-02 4.389e-04 42.507 < 2e-16
## date2:as.factor(ageClass)84.5 2.339e-02 4.878e-04 47.948 < 2e-16
## date2:as.factor(ageClass)94.5 2.352e-02 6.314e-04 37.250 < 2e-16
##
## (Intercept) ***
## date2 ***
## as.factor(ageClass)14.5 ***
## as.factor(ageClass)24.5 ***
## as.factor(ageClass)34.5 ***
## as.factor(ageClass)44.5 ***
## as.factor(ageClass)54.5 ***
## as.factor(ageClass)64.5 ***
## as.factor(ageClass)74.5 ***
## as.factor(ageClass)84.5 ***
## as.factor(ageClass)94.5 ***
## reg_name.facBourgogne-Franche-Comté ***
## reg_name.facBretagne ***
## reg_name.facCentre-Val de Loire ***
## reg_name.facCorse ***
## reg_name.facGrand Est ***
## reg_name.facGuadeloupe ***
## reg_name.facGuyane ***
## reg_name.facHauts-de-France ***
## reg_name.facÃŽle-de-France ***
## reg_name.facLa Réunion ***
## reg_name.facMartinique ***
## reg_name.facMayotte ***
## reg_name.facNormandie ***
## reg_name.facNouvelle-Aquitaine **
## reg_name.facOccitanie ***
## reg_name.facPays de la Loire ***
## reg_name.facProvence-Alpes-Côte d'Azur ***
## date2:as.factor(ageClass)14.5 ***
## date2:as.factor(ageClass)24.5 ***
## date2:as.factor(ageClass)34.5 ***
## date2:as.factor(ageClass)44.5 ***
## date2:as.factor(ageClass)54.5 ***
## date2:as.factor(ageClass)64.5 ***
## date2:as.factor(ageClass)74.5 ***
## date2:as.factor(ageClass)84.5 ***
## date2:as.factor(ageClass)94.5 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 493646 on 7868 degrees of freedom
## Residual deviance: 43616 on 7832 degrees of freedom
## (1380 observations deleted due to missingness)
## AIC: 85092
##
## Number of Fisher Scoring iterations: 5# Ignoring IND
mdl.narm <- glm(cbind(V1, notV1.narm) ~ date2 + cl_age90 + reg_name.fac, data = dat.regions.ages, family = "binomial")
summary(mdl.narm)##
## Call:
## glm(formula = cbind(V1, notV1.narm) ~ date2 + cl_age90 + reg_name.fac,
## family = "binomial", data = dat.regions.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -14.294 -1.194 0.000 1.167 8.761
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -9.742e+02 1.633e+00 -596.537 <2e-16
## date2 5.217e-02 8.734e-05 597.351 <2e-16
## cl_age90 -6.095e-03 5.110e-05 -119.292 <2e-16
## reg_name.facBourgogne-Franche-Comté -4.042e-01 6.147e-03 -65.755 <2e-16
## reg_name.facBretagne 3.943e-01 7.568e-03 52.097 <2e-16
## reg_name.facCentre-Val de Loire 1.105e-01 7.027e-03 15.718 <2e-16
## reg_name.facCorse 1.333e+00 2.902e-02 45.945 <2e-16
## reg_name.facGrand Est -7.079e-01 4.714e-03 -150.164 <2e-16
## reg_name.facGuadeloupe 1.636e+00 5.872e-02 27.856 <2e-16
## reg_name.facGuyane -2.673e+00 6.477e-02 -41.264 <2e-16
## reg_name.facHauts-de-France 3.648e-01 4.388e-03 83.136 <2e-16
## reg_name.facÃŽle-de-France 3.942e-01 3.991e-03 98.771 <2e-16
## reg_name.facLa Réunion -3.369e+00 2.266e-02 -148.708 <2e-16
## reg_name.facMartinique 8.999e-01 3.987e-02 22.572 <2e-16
## reg_name.facMayotte -4.986e+00 1.349e-01 -36.948 <2e-16
## reg_name.facNormandie 1.130e-01 6.256e-03 18.062 <2e-16
## reg_name.facNouvelle-Aquitaine -5.119e-02 5.782e-03 -8.852 <2e-16
## reg_name.facOccitanie 1.897e-01 5.220e-03 36.331 <2e-16
## reg_name.facPays de la Loire -2.645e-01 5.722e-03 -46.227 <2e-16
## reg_name.facProvence-Alpes-Côte d'Azur 4.248e-01 4.839e-03 87.778 <2e-16
##
## (Intercept) ***
## date2 ***
## cl_age90 ***
## reg_name.facBourgogne-Franche-Comté ***
## reg_name.facBretagne ***
## reg_name.facCentre-Val de Loire ***
## reg_name.facCorse ***
## reg_name.facGrand Est ***
## reg_name.facGuadeloupe ***
## reg_name.facGuyane ***
## reg_name.facHauts-de-France ***
## reg_name.facÃŽle-de-France ***
## reg_name.facLa Réunion ***
## reg_name.facMartinique ***
## reg_name.facMayotte ***
## reg_name.facNormandie ***
## reg_name.facNouvelle-Aquitaine ***
## reg_name.facOccitanie ***
## reg_name.facPays de la Loire ***
## reg_name.facProvence-Alpes-Côte d'Azur ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 595908 on 7832 degrees of freedom
## Residual deviance: 39471 on 7813 degrees of freedom
## (1380 observations deleted due to missingness)
## AIC: 78644
##
## Number of Fisher Scoring iterations: 5V2
par(mfrow = c(4, 3))
for(region in tmp){
subdat <- dat.regions[dat.regions$reg == region, ]
plot(subdat$date2, subdat$Prc_susp_501Y_V2_3, ylim = c(0, 100), main = regs[as.character(region)], col = colsAge[as.character(subdat$cl_age90)], pch = pchAge[as.character(subdat$cl_age90)],
xlab = "date", ylab = "Proportion V2/V3"
)
}
# Create new colums with information on number of specific PCR tests
# PCR with V2/3 result
dat.regions.ages$V23 <- dat.regions.ages$Nb_susp_501Y_V2_3
# All other PCRs (considering NAs are non-V1)
dat.regions.ages$notV23 <- dat.regions.ages$Nb_tests_PCR_TA_crible - dat.regions.ages$Nb_susp_501Y_V2_3
# All other PCRs with a result (removing NAs)
dat.regions.ages$notV23.narm <- dat.regions.ages$Nb_susp_501Y_V1 + dat.regions.ages$Nb_susp_ABS
# GLM
# Assuming that all IND (indetermine) are non-V23
mdl <- glm(cbind(V23, notV23) ~ date2 + ageClass + reg_name.fac, data = dat.regions.ages, family = "binomial")
summary(mdl)##
## Call:
## glm(formula = cbind(V23, notV23) ~ date2 + ageClass + reg_name.fac,
## family = "binomial", data = dat.regions.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -5.6945 -1.0998 -0.2392 0.6784 6.9944
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 8.448e+01 2.943e+00 28.705 < 2e-16
## date2 -4.698e-03 1.574e-04 -29.854 < 2e-16
## ageClass -3.062e-04 9.408e-05 -3.255 0.00113
## reg_name.facBourgogne-Franche-Comté 4.473e-01 1.256e-02 35.621 < 2e-16
## reg_name.facBretagne 1.397e-01 1.501e-02 9.309 < 2e-16
## reg_name.facCentre-Val de Loire -7.030e-01 1.995e-02 -35.232 < 2e-16
## reg_name.facCorse -8.668e-01 6.448e-02 -13.443 < 2e-16
## reg_name.facGrand Est 1.759e+00 8.244e-03 213.419 < 2e-16
## reg_name.facGuadeloupe -1.769e+00 1.897e-01 -9.326 < 2e-16
## reg_name.facGuyane 3.097e+00 5.119e-02 60.507 < 2e-16
## reg_name.facHauts-de-France -5.256e-01 1.062e-02 -49.474 < 2e-16
## reg_name.facÃŽle-de-France 3.759e-01 8.176e-03 45.980 < 2e-16
## reg_name.facLa Réunion 3.189e+00 1.434e-02 222.426 < 2e-16
## reg_name.facMartinique -1.652e+00 1.435e-01 -11.513 < 2e-16
## reg_name.facMayotte 3.224e+00 2.839e-02 113.571 < 2e-16
## reg_name.facNormandie -2.396e-01 1.476e-02 -16.238 < 2e-16
## reg_name.facNouvelle-Aquitaine -3.820e-02 1.319e-02 -2.897 0.00377
## reg_name.facOccitanie -6.024e-01 1.368e-02 -44.037 < 2e-16
## reg_name.facPays de la Loire 7.471e-01 1.071e-02 69.786 < 2e-16
## reg_name.facProvence-Alpes-Côte d'Azur -1.062e-01 1.058e-02 -10.036 < 2e-16
##
## (Intercept) ***
## date2 ***
## ageClass **
## reg_name.facBourgogne-Franche-Comté ***
## reg_name.facBretagne ***
## reg_name.facCentre-Val de Loire ***
## reg_name.facCorse ***
## reg_name.facGrand Est ***
## reg_name.facGuadeloupe ***
## reg_name.facGuyane ***
## reg_name.facHauts-de-France ***
## reg_name.facÃŽle-de-France ***
## reg_name.facLa Réunion ***
## reg_name.facMartinique ***
## reg_name.facMayotte ***
## reg_name.facNormandie ***
## reg_name.facNouvelle-Aquitaine **
## reg_name.facOccitanie ***
## reg_name.facPays de la Loire ***
## reg_name.facProvence-Alpes-Côte d'Azur ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 200045 on 7868 degrees of freedom
## Residual deviance: 20377 on 7849 degrees of freedom
## (1380 observations deleted due to missingness)
## AIC: 49910
##
## Number of Fisher Scoring iterations: 6# Ignoring IND
mdl.narm <- glm(cbind(V23, notV23.narm) ~ date2 + ageClass + reg_name.fac, data = dat.regions.ages, family = "binomial")
summary(mdl.narm)##
## Call:
## glm(formula = cbind(V23, notV23.narm) ~ date2 + ageClass + reg_name.fac,
## family = "binomial", data = dat.regions.ages)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -6.0844 -1.1198 -0.2167 0.7118 6.8613
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 8.351e+01 2.961e+00 28.199 < 2e-16
## date2 -4.642e-03 1.584e-04 -29.315 < 2e-16
## ageClass -3.158e-04 9.522e-05 -3.317 0.000912
## reg_name.facBourgogne-Franche-Comté 4.284e-01 1.257e-02 34.065 < 2e-16
## reg_name.facBretagne 1.290e-01 1.502e-02 8.587 < 2e-16
## reg_name.facCentre-Val de Loire -6.633e-01 1.997e-02 -33.208 < 2e-16
## reg_name.facCorse -8.032e-01 6.455e-02 -12.443 < 2e-16
## reg_name.facGrand Est 1.785e+00 8.270e-03 215.899 < 2e-16
## reg_name.facGuadeloupe -1.808e+00 1.897e-01 -9.532 < 2e-16
## reg_name.facGuyane 3.270e+00 5.413e-02 60.408 < 2e-16
## reg_name.facHauts-de-France -5.114e-01 1.064e-02 -48.083 < 2e-16
## reg_name.facÃŽle-de-France 4.284e-01 8.190e-03 52.309 < 2e-16
## reg_name.facLa Réunion 3.605e+00 1.582e-02 227.838 < 2e-16
## reg_name.facMartinique -1.709e+00 1.435e-01 -11.909 < 2e-16
## reg_name.facMayotte 3.475e+00 3.074e-02 113.037 < 2e-16
## reg_name.facNormandie -2.066e-01 1.478e-02 -13.977 < 2e-16
## reg_name.facNouvelle-Aquitaine -5.121e-02 1.320e-02 -3.880 0.000105
## reg_name.facOccitanie -5.992e-01 1.369e-02 -43.764 < 2e-16
## reg_name.facPays de la Loire 7.346e-01 1.072e-02 68.494 < 2e-16
## reg_name.facProvence-Alpes-Côte d'Azur -9.383e-02 1.059e-02 -8.858 < 2e-16
##
## (Intercept) ***
## date2 ***
## ageClass ***
## reg_name.facBourgogne-Franche-Comté ***
## reg_name.facBretagne ***
## reg_name.facCentre-Val de Loire ***
## reg_name.facCorse ***
## reg_name.facGrand Est ***
## reg_name.facGuadeloupe ***
## reg_name.facGuyane ***
## reg_name.facHauts-de-France ***
## reg_name.facÃŽle-de-France ***
## reg_name.facLa Réunion ***
## reg_name.facMartinique ***
## reg_name.facMayotte ***
## reg_name.facNormandie ***
## reg_name.facNouvelle-Aquitaine ***
## reg_name.facOccitanie ***
## reg_name.facPays de la Loire ***
## reg_name.facProvence-Alpes-Côte d'Azur ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 206889 on 7832 degrees of freedom
## Residual deviance: 20461 on 7813 degrees of freedom
## (1380 observations deleted due to missingness)
## AIC: 49743
##
## Number of Fisher Scoring iterations: 6All
par(mfrow = c(4, 3))
tmp <- unique(dat.regions$reg) # Region codes
tmp <- tmp[tmp>10 & tmp <= 93] # Choose only metropolitan regions
for(region in tmp){
subdat <- dat.regions[dat.regions$reg == region, ]
cc <- getVec(subdat[subdat$cl_age90 == 0, ], prop = FALSE)
plotDist(cc$x, cc$cA, cc$cB, cc$cC, cc$cD)
title(main = regs[as.character(region)])
}
Départements
URL <- "https://www.data.gouv.fr/fr/datasets/r/16f4fd03-797f-4616-bca9-78ff212d06e8"
dataFile <- paste0("data/Dep_", today, ".csv") # name file with today's date
download.file(URL, dataFile) # download file from repo
dat.deps <- read.csv(dataFile, sep = ";", stringsAsFactors = FALSE)
# Format date
dat.deps$date1 <- as.Date(substring(dat.deps$semaine, 1, 10))
dat.deps$date2 <- as.Date(substring(dat.deps$semaine, 12, 21))
# Rewrite time as days since beginning of the data
dat.deps$time <- dat.deps$date2 - min(dat.deps$date2)
# Compute data on total tests
dat.deps$Nb_tests_POS <- dat.deps$Nb_tests_PCR_TA_crible / (dat.deps$Prc_tests_PCR_TA_crible / 100)# Add name
deps <- read.csv("data/departement2020.csv", stringsAsFactors = FALSE)
# Turn into dictionnary
dps <- deps$libelle
names(dps) <- as.character(deps$dep)dat.deps$departement <- dps[as.character(dat.deps$dep)]Effort
par(las = 1)
par(mfrow = c(35, 3))
for(idep in sort(unique(dat.deps$dep))){
tmp <- dat.deps[dat.deps$dep == idep, ]
with(tmp[tmp$cl_age90 == "0",], {
plot(date2, Prc_tests_PCR_TA_crible, ylim = c(0, 100), type = "l", xlab = "date", ylab = "Proportion tests criblés",
main = unique(tmp$departement))})
}
V1
par(mfrow = c(35, 3))
for(idep in sort(unique(dat.deps$dep))){
tmp <- dat.deps[dat.deps$dep == idep, ]
plot(tmp$date2, tmp$Prc_susp_501Y_V1, ylim = c(0, 100), col = colsAge[as.character(tmp$cl_age90)], pch = pchAge[as.character(tmp$cl_age90)],
xlab = "date", ylab = "Proportion V1",
main = unique(tmp$departement))
# legend(x = min(dat.deps$date2), y = 100, legend = ages, pch = pchAge, col = colsAge)
}